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SenseCrypt v3.1.1

Introduction

We verify you with your face without having your face!

SenseCrypt eID

SenseCrypt is a breakthrough face recognition (FR) technology that, in essence, allows the binding of a data structure to a natural person in a privacy preserving and secure way. The data structure thus created contains no biometrics or facial images, is much smaller than a regular facial recognition template, and can even be represented as a QR code.

Enrollment

To enroll a person in a traditional FR system, a template from the person‘s face is generated and stored. This template is unique to a person but it is not privacy preserving as

The template can be used to derive the person’s face image
Distances between templates can be used to reveal one’s identity

In contrast, enrolling a person with SenseCrypt does not involve saving any biometric or identity revealing information. Instead, with SenseCrypt the act of enrollment consists of encrypting a set of non-biometric metadata.

In detail, a public key is derived from the given face to encrypt a set of given metadata (examples include: name, visa_id, user_id, access allowance etc.).

The resulting encrypted data structure is called a SensePrint. After creating the SensePrint, the given face image and the public key are discarded such that no biometry data remains.

Verification

In traditional FR to recognize a person, a new template is created from the given face image and compared against the templates in the database. If the new template is close enough to one of the stored templates, the person is considered to be the same.

Instead, with SenseCrypt verification consists of attempting to decrypt a given SensePrint.

In detail, a private key is derived from the given face. If the private key is from the correct person it can be used to decrypt the SensePrint. A successful decryption verifies the person. The decryption fails if the person who generated the SensePrint is different from the person who tries to access it.

With no biometry data stored, this solution reduces privacy compliance risks with legislation/acts around the world while, at the same time, offering complete peace of mind regarding data breach risks.

Overview of SenseCrypt eID technology

Generate a SenseCrypt eID (SensePrint) - an act of encryption:
- Face + eID attributes (metadata) → SensePrint
Verify a SensePrint - an act of decryption:
- Face + SensePrint → eID attributes (metadata)

SenseCrypt Face Public Key Infrastructure (Face PKI)

While SenseCrypt eID SensePrints are great for use cases where the natural person is present at each transaction of the system, there are use cases where the person cannot be present for a certain action.

In another scenario, a verifier should not be exposed to processing facial images of a person as this is a privacy risk and may also be in violation of regulatory policies or applicable law.

It may also be possible that a natural person doesn't want to expose their face to a third party due to religious reasons.

SenseCrypt Face PKI solves the question of how these use-cases can be covered in a privacy-preserving way without revealing biometric data / facial images to actors in the system.

SenseCrypt Face PKI extends SenseCrypt by enabling a third party with no access to a person’s face / biometric data to:

encrypt information that only this person can read (after scanning their face)
verify that this person signed specific information

The central piece of technology in SenseCrypt Face PKI is the Face Certificate. A Face Certificate is generated from:

the user’s face
an existing SensePrint
a purpose ID
metadata

A Face Certificate is a standard X509v3 certificate such as the ones that are used to secure all internet traffic. However, the public key contained in the certificate is derived from a user's face. We have brought the trusted and standard security technology used to secure all websites on the internet but, instead of certifying websites, Face Certificates certify persons and enable verifying them with their face without having access to or processing any face or biometry data.

In addition, the Face Certificate can contain a subset of eID attributes (metadata) that are encrypted for a specific verifier using a pre-registered verifier's public key. The verifier may also maintain a pairwise key pair such that the verifier's public key is different for each Face Certificate. This can mitigates risk of data breaches as each Face Certificate has metadata that is encrypted with a different, user specific, public key.

Encryption / Decryption

A third party can use a Face Certificate to encrypt data, such that it can only be decrypted when the user presents his/her face and the correct purpose id. This allows the third party to send encrypted information to a specific user, without having that user’s biometric information while ensuring that only this person can read this information.

It is to be noted that if a key (or key-pair) which is not part of SenseCrypt technology is used to encrypt a large amount of data (for example, a hard disk), the key can still be protected with a face by encrypting it with a Face Certificate.

Later, when the hard disk is to be decrypted, the encrypted key is first itself decrypted using a face. Then the decrypted key is used to decrypt the hard disk.

Document / File Signing

The user can sign a piece of information with:

their face
a SensePrint
a purpose ID

A third party can verify this signature with the Face Certificate of that user which is issued for that purpose.

Parts of a Face Certificate

A Face Certificate consists of:

A Public Key - the public key is used to encrypt data and to verify face-based signatures.
Metadata - any subset of SensePrint metadata that should be exposed as part of providing a Face Certificate. This metadata is encrypted using a specific verifier's public key.
Expiry date - a standard expiry date as with all X509 certificates.
Certificate Revocation List (CRL) URL - a standard property of an X509 certificate that allows the revocation of a Face Certificate at anytime.
Signature - a standard property of an X509 certificate that allows an external party to verify that the certificate was issued by a specific issuer. This signature is verifiable against the root certificate of the issuer.

Why do we need a purpose ID?

The purpose ID allows defining the scope of a Face Certificate. When issuing a Face Certificate we want to ensure it can only be used for a specific purpose. E.g. when a user requests the issuance of a Face Certificate for his bank to verify the signature of his withdrawal transactions, another bank should not be able to use the same Face Certificate for their transactions.

The purpose ID facilitates privacy preservation by ensuring that the same certificate cannot be used across different purposes as that would make it linkable as different parties would be able to track a user by just observing that the same Face Certificate is used across different databases.

What is a root certificate and why is it needed?

Whenever a third party receives a Face Certificate to encrypt data and send to a user, how can the third party be sure that this Face Certificate is actually valid and originates from a legitimate source?

In SenseCrypt PKI, similar to traditional PKI systems, one can check the validity of a Face Certificate against a root certificate provided by a trusted Certificate Authority (CA) - the certificate issuer i.e. your deployment of the SenseCrypt server.

Overview of Face PKI technology

Generate a face certificate:
- Face + SensePrint + Purpose ID + eID attributes subset → Face Certificate
Encrypt a key:
- Key + Face Certificate → Encrypted Key
Decrypt a key:
- Encrypted Key + Face + Purpose ID + SensePrint → Decrypted key
Face Signing:
- Face + Data + Purpose ID + SensePrint → Signature
Verify Signature
- Data + Signature + Face Certificate → is_valid?

Design Principles and Additional Information

This concludes a brief introduction to SenseCrypt technology. If you would like to read more about the design principles, motivation, and impact of SenseCrypt, you can explore more in the Appendix section.

In the next section we will get more hands on and show you how to get started with SenseCrypt technology.

Getting Started

Making sense of your distribution bundle

The distribution bundle of SenseCrypt that you have received consists of the following:

A server bundle - unzip this to get started with the server
Android bundle - unzip this to get started with the Android mobile SDKs and reference app
iOS bundle - unzip this to get started with the iOS mobile SDKs and reference app.

SenseCrypt Server

The server bundle consists of:

Docker images for the SenseCrypt Server (Generic CPU / Intel CPU / CUDA)
Scripts to start the appropriate Docker container

You should start the server first as this is the component you will use in your server-to-server integration for:

Generating SensePrint eID QR codes
Generating SensePrint eID raw bytes
Generating Face Certificates
Face Signatures
Face Encryptions
Face Decryptions
Getting the issuer's Root Certificate

In addition to the above functionality, the server also includes some convenience end-points for cryptographic operations that can be performed off-server as well. The functionality of these end-points is to:

Verify authenticity of Face Certificates
Verify Face Signatures

Given that you know the public key in the issuer's root certificate, you can verify the authenticity of a Face Certificate on your own as well.

Similarly, given a public key in a verified Face Certificate, you can verify Face Signatures on your own as well.

In addition to the above, the server also includes functionality that can be invoked by a SenseCrypt Mobile SDK Online version.

SenseCrypt Mobile SDKs

The mobile SDKs consist of a closed source pre-compiled library and an open source reference UI implementation that uses the closed source libraries. Furthermore, it is offered in two variants:

Offline - This variant runs SenseCrypt algorithms on a mobile device in a completely offline fashion, with a trade-off on the SDK size. Since all Machine Learning models must run on device, the packaged binary is larger than the online variant. The on-device Liveness Check offered in this variant is not as powerful as the one offered in the Online variant.
Online - This variant runs the SenseCrypt algorithms on your deployment of the SenseCrypt Server. The communication between the mobile SDK and the SenseCrypt server uses an end-to-end proprietary encryption protocol. This variant is much smaller in size than its offline alternative as it doesn't contain large Machine Learning models in the packaged binary. Since the Liveness Check is executed on-server, this variant provides a more advanced Liveness Check than the Offline variant.

Both the variants are offered for iOS (Swift) and Android (Kotlin) and will need to be compiled with Xcode, Android Studio respectively to be used.

Next, let's start the server to get going!

SenseCrypt Server

Installing and running the SenseCrypt Server

The first step in your eID journey is to run an instance of a SenseCrypt server. For your convenience, this is as easy as starting a Docker image via a provided shell script.

Pre-requisites

You need AMD / Intel bare metal machine / VM running Ubuntu 22.04 or Windows 11 server, and with Docker installed.

At least 8GB of free RAM and 4 CPU cores are needed for the server.

The server is optimized for Intel CPUs and NVIDIA GPUs and container images are available for both CPU only (Linux/Windows) and CPU + GPU variants (Linux only).

For CPU + GPU varaints, the host machine must have NVIDIA drivers 550, 555 or 560 installed. Furthermore, the host machine must also have the NVIDIA container toolkit installed.

Best CPU Performance

For the best CPU performance, we recommend 4th generation Xeon hardware (Sapphire Rapids) with 8 cores or more.

While instance selection will highly depend on you own use-case, you can achieve 10x performance gains through BF16 inferencing offered by AMX on these CPUs. The AMX link shows some current instance types with 4th gen Xeon on various cloud providers.

Starting the server

How to start the Docker container

Our Docker images can run on either CPU or on GPU.

If you have been provided the CPU image, you can choose to run it either on Intel processors or x86-64 compatible processors such as those from AMD.

Our software is highly optimised to run on the latest Intel CPUs (4th Gen Xeon - Sapphire Rapids or later).

As the first step, you need to load the Docker image from the provided file.

For Intel CPUs:

For non-Intel CPUs:

For NVIDIA GPUs (Linux only):

After loading the image, you can start the server via the script below. This script will start a docker container of the Server SDK image and copy the license and secrets information into that container:

Linux:

Windows:

When you run the above script, it will prompt you to create an issuer's private key:

To enable the Face PKI functionalities of the server, you should type yes. This will make the server act as a Certificate Authority for issuing Face Certificates and also enable signing of issued SensePrints such that verifiers can verify that they are, indeed, issued by you. This will also create a file called keygen_output.txt. The output of the file is shown below:

The public key shown in the file should be set in the constants of the offline mobile SDKs. You should also backup this file and store it at a secure location as it defines the private key of your server as a Certificate Authority.

Once the server is running, you can access the OpenAPI Swagger Docs page by going to a browser on the local machine via:

The Swagger Docs page is useful to test the web APIs from your browser. The Swagger framework allows developers to create interactive, machine and human-readable API documentation. It is the framework that REST API developers are most familiar with.

We also provide RapiDoc documentation that is better looking and easier to read:

Every time a Docker container is restarted, it assumes a new ID. Since only 5 concurrent IDs are allowed (by default) in the license, you might encounter an error if you frequently start/stop the Docker images. Thus, it is recommended to start a Docker image only once and let it run.

Configuration

How to set the secrets and configuration for your server

The server is configured via a file named secrets.json. This file is included in the root of the distribution package that you have received and was automatically used when you started the server. You can, however, customize the values in this file. The default file (if you opted to generate the isssuer's private key looks like the following):

{
  "api_key": "wfMIgreFfMxDXySTU/MqNaFPJBIZcc40BQ62uQMwwd0=",
  "mobile_api_key": "S+ILGn9HOYKvgbt6MbqwJHknYajIeVn/bJJBjyLffFQ=",
  "jwt_secret": "ujfj1hiaiwaMsWnoiMDE1uKNHaD45Yu8hpscRggql5s=",
  "issuers_private_key": "v1ScMMYqPLUbFU5N6A4a+H9znA9+fi/WHWf61yivPts="
}

The following keys can be defined in the JSON:

api_key - this value defines a secret API key that you can use to make a server-to-server call to an end-point on the SenseCrypt server. The api-key is not meant for use with the mobile SDKs.
mobile_api_key - this value defines a secret API key that you can use to make a mobile to server call from the SenseCrypt Online Mobile SDK. The mobile_api_key must be used only with the mobile SDK. It cannot be used to make a server-to-server call to any of the end-points on the SenseCrypt server.
issuers_private_key (optional) - this value defines the key that will be used to enable the Face PKI functionality of the server. Once it is set, the server will provide a Root Certificate end-point that can be used to retrieve the Root Certificate for the SenseCrypt server operating as a Certificate Authority. This mode of operation of the server (when the issuers_private_key is set) is known as Certificate Authority mode. This value was automatically set to a random key if you selected yes to generating issuer's public/private key pair while starting the server. You should not change this value manually unless you know how to generate a key-pair using the Secp256k1 elliptic curve. As has been discussed earlier, the root certificate can be used to verify the signature of any issued Face Certificate. Furthermore, when it is set, generated SensePrints are signed using this key. Thus, for the SenseCrypt Offline Mobile SDK, correspondingly, the issuers_public_key must be set in the constants so that the offline mobile SDK can verify that SensePrints are issued by the correct issuer.
app_thumbprints_android (optional) - For the SenseCrypt Online Mobile SDK Online, a thumbprint is displayed in the app's settings and is also available as a mobile SDK API call. Your app may have different thumbprints while in development and in production (on the Play Store). If you set these thumbprints as comma separated values for this configuration, the server will not accept requests from any app that is not legitimate (has a different thumbprint).
jwt_secret (optional) - this value defines the secret used for JWT token generated on the /gen-jwt endpoint. See the Using a JWT Token for Mobile Authorization section for more information.
jwt_expire_seconds (optional) - this value defines the lifetime of JWT tokens generated by the /gen-jwt endpoint. The default value is 300 = 5 minutes.

If you change the values in secrets.json, you will need to stop the container and restart it again.

First list the containers:

> docker ps

After observing the value for CONTAINER ID, you can stop it using:

> docker stop 336180357b1d

Once the docker is stopped, you can start it again using the process described in Starting the server.

Licensing and Authorization

Information about licensing and authentication for the server

The licensing for the server is governed by a license file called server.lic. This file is located in the root folder of the distribution bundle.

The server.lic file determines quotas and limits for the system. During development, the initial file should provide enough quotas for your needs. As you approach a production deployment, please contact Seventh Sense for a review of your quota needs.

When the server is running, it offers several end-points that can be called via HTTP clients in a language of your choice.

It is to be noted that these end-points are meant to be accessed via server-to-server calls. If you wish to access similar functionality from mobile, you can use the SenseCrypt Mobile SDK Online which includes secure access to the functionality provided by the server end-points.

To access these server end-points for server-to-server API calls, please use your api_key

A random API key was included in the secrets.json file mentioned in the previous section. Including it in requests using the x-api-key header will help authorize your requests. This is only recommended for server-to-server calls.

For the mobile SDKs, you have the option of authenticating via the mobile_api_key, or if you want to implement your own authentication, you can first use your api_key in a server-to-server API call to generate a JWT token. Then, you can use the generated JWT token in the mobile SDKs.

Using the Swagger Docs page

How the Swagger Docs page can be used to quickly test the APIs

Assuming that you have been able to successfully start the Docker and access the Swagger Docs page via:

http://localhost:7777/docs

The following describes how to use the Swagger Docs page. The Swagger Docs page makes http(s) calls via your browser. Hence, everything detailed below can also be accomplished using an http library in a programming language of your choice.

The page also provides cURL commands that you can execute from the command line to send requests and receive responses.

Authorization

Each API end-point in the Swagger Docs page requires an x-api-key header for authorisation.

For your convenience, the Swagger Docs page allows you to authorise via the UI in a browser.

This is demonstrated in the next section.

Authorization

Logging in!

Upon opening the Swagger Docs page in the browser, you should see the Authorize button on the top right:

Recall that we had set the API key in the secrets.json file while starting the Docker. We will need to enter that API key after clicking the Authorize button:

Now we can use the Swagger Docs page to interact with the API.

Using a JWT Token for Mobile Authorization

Implement your own authorization mechanism for API access for online mobile SDKs

While the value of mobile_api_key you set in your secrets.json in the section provides a convenient way of authorizing requests to the server for mobile SDKs, at some point you might need to authorize users based on your own needs before they can access the SenseCrypt server APIs.

In another scenario, you might not wish to expose your mobile_api_key as a hard coded configuration parameter in your code and, instead, would prefer to authorize user's based on your own needs.

A JSON Web Token (JWT) provides a convenient mechanism to address these scenarios.

In the example below, it is assumed you have already authorized yourself using you api_key as was shown in the .

To generate a JWT, expand the /gen-jwt section and then click the Try it out button as shown below:

This will enable the following data to be editable:

If you need a generic JWT which is not bound to a device, you can use an empty body as shown below.

While this will work, it is recommended that you generate tokens for specific devices for better security.

The API call returns the JWT token. Now you can initialize the online mobile SDKs with the value Bearer your_jwt_token instead of using the mobile_api_key for auth.

For better security, you can also change the value of jwt_secret to some value that only you know.

Getting information about your license

How to get information about your license and check its expiry data

Assuming you have configured your server correctly and authorized yourself, we provide an end-point for you to retrieve license information from the server.lic file provided to you.

To get information about your license, expand the /license-info section and then click the Execute button as shown below:

Doing so will return you values such as the ones shown below:

{
  "customer_id": "6424c684-dd5e-4744-9af8-bfc8f6869e16",
  "license_id": "7acbb964-522f-4e5d-9013-8e7ad2522839",
  "activated_features": "CALL_HOME,CREATE_QR_CODE",
  "expires": "2024-08-20T04:41:00Z"
}

The expires field gives you the expiry of your license in the UTC timezone.

The rest of the information can be useful if you face any issues and wish to talk to customer support staff at Seventh Sense.

SenseCrypt eID

Foundational eID functionality

In this section, we detail four main methods of creating/verifying foundational eID:

Generating an eID QR code - this generates a QR code containing a raw SensePrint.
Generating a raw SensePrint - this generates the raw bytes contained in an eID QR code. These bytes can then be stored on alternative media such as an NFC card or in a database.
Decrypting a raw SensePrint - this decrypts the metadata contained in a raw SensePrint using the eID holder's face.
Parsing a SensePrint - In addition to metadata encrypted with the eID holder's face, a SensePrint can also contain metadata that can be read without the user's face. This data is still stored encrypted within a SensePrint but since it is not encrypted using the user's face, we call it cleartext_data. Parsing a SensePrint also reveals information whether a Liveness check is required to decrypt it and whether an additional password is required to decrypt it.

Generating your first SensePrint eID QR

Let's generate our first SensePrint QR code.

Expand the /senseprint-qr section and then click the Try it out button as shown below:

After clicking the Try it out button, the following JSON text will become editable:

A SensePrint eID QR code contains two sets of attributes. The first set of attributes called cleartext_data can be accessed by an authorized SensePrint reader without the eID holder's face.

The second set of attributes called metadata can only be accessed after scanning the eID holder's face.

check_live_face_before_creation will check if the face in face_base_64 is live (no spoofing detected)

The record_id is a field that represents the primary key or identification number of the eID.

ref_face_base_64 (optional) is a reference facial image that eID holder's face is compared with. The SensePrint will only be generated when the reference face matches with the eID holder's face. As an example use case, this could be an image from an ID document for e-KYC purposes.

If require_live_face is set to true during SensePrint verification (decryption) a liveness check will be performed before a face is accepted to decrypt the metadata.

If a password (optional) is specified, the eID holder will need to provide a password in addition to their face scan.

The tolerance (optional) parameter specifies the strictness of the algorithm in matching a face. The default value of REGULAR should suit most purposes.

The verifiers_auth_key (optional) parameter specifies a secret that is shared with a verifier of the eID. If it is specified, the verifier must specify the same value while trying to decrypt the SensePrint.

The os (optional) parameter is only used when check_live_face_before_creation is set to true. It indicates the operating system the image was captured on. Valid values are ANDROID / IOS / DESKTOP.

The liveness_tolerance (optional) parameter is only used when check_live_face_before_creation is set to true. This parameter specifies the level of strictness that the liveness algorithm uses. The default value of REGULAR should suit most purposes.

The following shows a sample JSON text to generate a QR:

To generate the QR code, click Execute and then Download file as show:

The QR code thus generated can now be included in either a physical or digital eID document and verified (and decrypted) via the SenseCrypt Mobile SDKs.

Generating a raw SensePrint

The core raw bytes data structure inside an eID QR code

In the previous section, we saw how to generate a SensePrint eID QR code. The SensePrint eID QR code simply uses raw SensePrint bytes to create a QR code. The generated bytes are what the QR code encodes.

In some use-cases it may be advantageous to just generate the raw SensePrint bytes without creating a pictorial QR code.

For example, if you want to store the SensePrint in a database, this may be the right route to take.

We assume you have gone through the previous step and have already authorized yourself using the API Key.

To generate the raw SensePrint bytes, expand the /senseprint-raw section and click on Try it out as before:

As before, the JSON input for the API call will become editable:

The explanation of the fields has already been provided in the previous section.

We reuse the input from the API call to generate a QR code (previous section) as a sample input for this call:

Upon clicking the Execute button, instead of a QR code to download, we will see the raw SensePrint bytes encoded as a Base64 string:

In the next section, we will see how to decrypt raw SensePrint bytes. The act of decryption also acts as Biometric Verification for the presented face.

Decrypting a raw SensePrint

Core Biometric Verification through decryption

In the previous section, we saw how to generate a raw SensePrint. In this section we use the output raw SensePrint along with a face image (Base64 encoded) to decrypt the SensePrint data.

To decrypt the raw SensePrint bytes, expand the /verify-raw section and click on Try it out as before:

Upon clicking Try it out, the following JSON text will become editable:

senseprint_base_64 is the value obtained by making an API call to the /senseprint-raw in the previous section.

os indicates the operating system the image was captured on. Valid values are ANDROID / IOS / DESKTOP.

password and verifiers_auth_key can be omitted since we didn't specify them while generating the raw SensePrint. Had they been specified during the generation, the same values would have been required here in order to decrypt the SensePrint.

liveness_tolerance is only used if the SensePrint was generated with require_live_face set to true. As before, it specifies how strict the Liveness algorithm should be. The default value of REGULAR should suit most purposes.

We post the minimal JSON shown below to perform decryption / verification of the raw SensePrint (please note, the value below will not work as SensePrints are tied to licences. You should use the values from your own invocation of the /senseprint-raw end-point in the previous step:

Upon clicking Execute, we get the result of the decryption:

A successful decryption is also a Biometric Verification! This Biometric Verification happens through an act of decryption - not by comparing similarity of bytes / feature vectors / templates.

You will notice there is an additional property called face_crop_base_64 in the result. This property is a thumbnail of the face that the algorithm used to decrypt the SensePrint.

A difficulty parameter is also returned. This can be used to assess how difficult it was for the algorithm to perform a decryption. A sample use case is when you want to determine if the face presented is quite different from the face during SensePrint issuance. Three levels of difficulty can be returned EASY, MEDIUM, and HARD. If the difficulty returned is HARD/ MEDIUM, depending on your use case, it might be advisable to regenerate a new SensePrint with a more recently captured image.

Unlike a similarity/confidence score, difficulty can only be determined if a decryption is successful. Thus, it is truly Privacy Preserving and is completely unlike a similarity score.

This API call is also used by the online version of the Mobile SDKs.

The face crop value returned by the call is what is displayed in the SDK demo app UI.

Parsing a SensePrint

Obtaining information about a SensePrint without decrypting it

Sometimes it is necessary to parse a SensePrint without decrypting it with the face.

Such functionality is, for example, useful to know whether the SensePrint was created with an additional password so that the UI can prompt a user to enter the password before attempting to decrypt the SensePrint.

Additionally, a SensePrint may contain information that can be read without decrypting it using the user's face. This information, which we call cleartext_data, is actually still stored encrypted in a SensePrint (it is encrypted with keys associated with your server license) and it cannot be read by another SenseCrypt customer.

However, given a reader has the same license, the cleartext_data can be read without a face scan.

Use cases for cleartext_data include have non-sensitive information such as an eID holder's name as cleartext_data while maintaining sensitive attributes such as postal address in the sensitive, face encrypted metadata portion of a SensePrint.

Also, parsing a SensePrint also reveals whether liveness checks must be performed before their decryption.

To parse raw SensePrint bytes, expand the /parse-raw section and click on Try it out as before:

Upon clicking Try it out, the following JSON text will become editable:

{
  "senseprint_base_64": "senseprint_base_64",
  "verifiers_auth_key": "(optional) verifiers_auth_key"
}

senseprint_base_64 is the value obtained by making an API call to the /senseprint-raw in the Generating a raw SensePrint section.

verifiers_auth_key parameter specifies a secret that is shared with a verifier of the eID. It must be the same as the value that was used to generate the SensePrint. If no value was specified when generating a SensePrint, this parameter can be omitted.

SenseCrypt Face PKI

Functional eID features

As discussed earlier SenseCrypt Face PKI extends SenseCrypt eID by enabling a third party, without having / processing a person’s face / biometric data to

encrypt information for that person's eyes only
verify that the person signed specific information
verify a subset of eID attributes are real as issued by a trusted issuer

The central piece of technology in SenseCrypt Face-PKI is the Face Certificate. A Face Certificate is generated from:

the user’s face
a purpose ID
metadata

In the following sections, we shall see how to use the end-points to accomplish various different objectives within SenseCrypt Face PKI functionality.

Configuration

How to enable Face PKI features

This section serves as a reminder that for SenseCrypt Face PKI features to work, you must configure the issuers_private_key in your secrets.json file while running the server (please see the Starting the server section).

If you do not set this, most SenseCrypt Face PKI end-points will return the following error with a 403 status code:

{
  "code": "ERR_ISSUER_PRIVATE_KEY_NOT_SET",
  "message": "The issuer's private key is not set. Please set the issuer's private key before attempting this operation."
}

Assuming you have setup your private key, in the next section we will understand how a third-party can access your Root CA Certificate for Face Certificate verification.

If you want to independently generate a key-pair (without using the installation script), it is described here.

Accessing your Root Certificate

Your server's Root Certificate contains the public key for you as an eID Issuer and CA

Your Root Certificate forms the root of trust for anyone verifying Face Certificates issued by you.

It contains the corresponding public key for the private key (issuers_private_key) that you configured in secrets.json before starting the server.

To access your Root Certificate, simply navigate to:

http://localhost:7777/root-certificate

Generate your first Face Certificate

Getting started with functional eID

Now that you are familiar with generating foundational eID SensePrints, it is time to learn how to allow verification of foundational eID holders using their face without having their face.

Prerequisites for Face Certificate Generation

To generate a Face Certificate, you must have:

SensePrint - You cannot generate a certificate for a particular pupose without having the foundational eID - i.e. the SensePrint
User's Face - Any key generation operation using a SensePrint is impossible without the user's face.
Purpose ID - A Face Certificate contains a public key derived from a user's face as pertaining to a specific purpose. As an example, the purpose ID could simply be a unique identifier associated to a particular verifier - i.e. the verifier's ID / web site etc.
eID attributes subset (optional) - A Face Certificate can also contain a subset of attributes from the foundational eID as requested by a particular verifier. When included, these are typically encrypted using a specified public key so that only an authorized verifier can read them. The attributes are included as a JSON string. If the SensePrint doesn't contain any of the requested attributes, they are ignored.
Public Key (optional) - When included, the requested attributes JSON string is encrypted using this key.
The server must be configured with a private key as detailed in the Configuration section.

Generating Secp256k1 Key Pairs (for eID attribute encryption) - optional

While most programming languages will provide libraries to generate key pairs, to get you started, you can use the the OpenSSL command line tool. To install OpenSSL:

Windows - FireDaemon provides binary installers for your convenience.
Linux - You can install OpenSSL on linux by using the following commands: sudo apt update sudo apt install openssl

Within OpenSSL installed, from the command line, you can first generate a keypair:

openssl ecparam -name secp256k1 -genkey -noout -out secp256k1-key.pem

The keypair is now stored in a file called secp256k1-key.pem.

To print the Base64 encoded public key that the API will accept:

openssl ec -in secp256k1-key.pem -pubout -conv_form compressed -outform DER | tail -c 33 | openssl base64

Later, during certificate verification, you will also need the private key. You can get this from the same file using:

openssl ec -in secp256k1-key.pem -outform DER | tail -c +8 | head -c 32 | openssl base64

Using the API end-point

As before, on the Swagger Docs page authorize using the API Key you setup earlier.

Expand the /generate-face-certificate section and then click the Try it out button as shown below:

As before, after clicking the Try it out button, the following JSON text will become editable:

{
  "attribute_encryption_secp256k1_public_key_base64": "(optional) A9mSFE03nGlgjOUP77viNqryw2pH8nbOWQOL7wChgitF",
  "check_live_face_before_creation": true,
  "expiration_date_utc": "2034-10-01T00:00:00Z",
  "face_base_64": "face_base_64",
  "liveness_tolerance": "REGULAR",
  "os": "DESKTOP",
  "password": "(optional) password",
  "purpose_id": "login:www.example.com",
  "requested_attributes": "(optional) [\"email\", \"name\"]",
  "senseprint_base_64": "senseprint_base_64",
  "user_subject_name": "user@example.com",
  "verifiers_auth_key": "(optional) verifiers_auth_key"
}

attribute_encryption_secp256k1_public_key_base64 specifies a base64 encoded public key on the Secp256k1 curve. When this key is specified, the server will encrypt the requested_attributes JSON string with this key.

check_live_face_before_creation will check if the face in face_base_64 is live (no spoofing detected) before creating a Face Certificate.

expiration_date_utc is a UTC time stamp of when the Face Ceritificate will expire.

face_base_64 is an image of the eID holder's face represented as a Base64 string. Most programming libraries will provide a way to convert a file to Base64, but for a quick demonstration, you can use this page to convert an image to a Base64 string.

liveness_tolerance is only used when check_live_face_before_creation is set to true and determines the strictness of the liveness algorithm.

os is also used only when check_live_face_before_creation is set to true and finetunes the liveness check. It indicates the operating system the image was captured on. Valid values are ANDROID / IOS / DESKTOP.

password should be specified when the senseprint_base_64 was generated with a password.

purpose_id specifies the purpose of the Face Certificate. It can also be simply a verifiers ID (UUID).

senseprint_base_64 is a base 64 encoded raw SensePrint from which a public key will be generated fo the specified purpose.

requested_attributes when specified, will include the attributes in the Face Certificate. Only matched attribute names will be included. When a attribute_encryption_secp256k1_public_key_base64 is specified, the attributes JSON string will be encypted with the specified public key. If a key is not specified, then the attributes will be included as plain-text JSON.

user_subject_name is the subject name of the use for whom the cerificate is being generated. If the certificate will be stored in a public registry, it is recommended that the subject name is pseudonymized or hashed.

verifiers_auth_key should be specified when a SensePrint was generated with it specified during generation as well.

Understanding a certificate

If all goes well, you should see a response like the following:

{
  "cert_pem": "-----BEGIN CERTIFICATE-----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\n/d9GHkrand+z7MnviHjXHLCCtYL8MQ==\n-----END CERTIFICATE-----\n"
}

This is the JSON representation of you certificate (with line breaks represented as \n. You could use a language of your choice to save the string to a file. In this example, we use Python:

cert = "-----BEGIN CERTIFICATE-----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\n/d9GHkrand+z7MnviHjXHLCCtYL8MQ==\n-----END CERTIFICATE-----\n"
with open("example.pem", "w") as my_cert:
    my_cert.write(cert)

Now you will have a file called example.pem which contains your certificate.

Certificate Structure

You can run an OpenSSL command to view the contents of your certificate:

openssl x509 -noout -text -in example.pem

Depending on whether you supplied a verifiers_auth_key or not, the certificate will contain either an X.509v3 extension of 1.2.702.0.1012.1.1.0.0 (for plain text attributes) or 1.2.702.0.1012.1.1.1.0 (for encrypted attributes).

Below we show a certificate where the verifiers_auth_key was not specified and eID attributes are unencrypted - correspondingly the 1.2.702.0.1012.1.1.0.0 extension is included in the certificate:

Certificate:
    Data:
        Version: 3 (0x2)
        Serial Number:
            0a:8e:73:b2:da:4b:9b:ec:87:e1:1c:99:ff:36:8b:7b
        Signature Algorithm: ecdsa-with-SHA256
        Issuer: CN = SenseCrypt Customer ID (c4e38990-b5aa-4a8b-8e22-c91dddc5ce0a)
        Validity
            Not Before: Jan  1 00:00:00 1970 GMT
            Not After : Oct  1 00:00:00 2034 GMT
        Subject: CN = user@example.com
        Subject Public Key Info:
            Public Key Algorithm: id-ecPublicKey
                Public-Key: (256 bit)
                pub:
                    04:1f:cb:db:26:39:40:80:18:45:13:af:f4:3b:33:
                    aa:e3:77:af:c3:08:3b:36:9e:ba:11:91:3e:46:86:
                    45:c6:71:6b:14:76:92:82:4d:f3:74:18:43:36:e4:
                    4b:2a:b7:43:4d:c7:4f:d4:a6:a5:a2:ff:3f:6c:1e:
                    27:61:ed:1b:cf
                ASN1 OID: secp256k1
        X509v3 extensions:
            X509v3 Key Usage: critical
                Digital Signature, Key Encipherment
            1.2.702.0.1012.1.1.0.0: 
                {"name":"John Doe"}
    Signature Algorithm: ecdsa-with-SHA256
    Signature Value:
        30:44:02:20:59:ee:1e:a5:5f:8a:8b:db:05:e0:c4:a2:11:83:
        cd:ff:62:a3:cd:fb:d1:c1:84:63:70:65:8d:5f:fb:a3:05:df:
        02:20:4e:49:32:c2:f2:e3:8b:86:01:1b:fd:df:46:1e:4a:da:
        9d:df:b3:ec:c9:ef:88:78:d7:1c:b0:82:b5:82:fc:31

The meaning of 1.2.702.0.1012.1.1.0.0 (for plain text attributes) or 1.2.702.0.1012.1.1.1.0 (for encrypted attributes) can be seen at the following URLs:

1.2.702.0.1012.1.1.0.0 (unencrypted)- http://www.oid-info.com/cgi-bin/display?oid=1.2.702.0.1012.1.1.0.0
1.2.702.0.1012.1.1.1.0 (encrypted) - http://www.oid-info.com/cgi-bin/display?oid=1.2.702.0.1012.1.1.1.0

These are globally registered object IDs that are expanded below.

Unencrypted attributes as JSON object identifier:

{iso(1) member-body(2) sg(702) snraoid(0) seventh-sense(1012) sensecrypt(1) user-attributes(1) plain-text(0) json(0)}

Encrypted attributes as JSON object identifier:

{iso(1) member-body(2) sg(702) snraoid(0) seventh-sense(1012) sensecrypt(1) user-attributes(1) encrypted(1) json(0)}

Depending on whether eID attributes were requested, and whether an encryption key was specified, your certificate will contain either no extension, or one of 1.2.702.0.1012.1.1.0.0 (unencrypted), or 1.2.702.0.1012.1.1.1.0 (encrypted).

Verifying a Face Certificate

How to determine the authenticity of a certificate

A Face Certificate is a standard x509v3 certificate and as such, its validity can be determined using conventional cryptographic tools such as OpenSSL:

openssl verify -CAfile root.pem -verbose face-cert.pem

In the above command, root.pem can be obtained by calling the /root-certificate end-point on the server.

As a standard cryptography construct, an x509 certificate can be verified using various libraries in many different languages:

Python - the cryptography package support x509 verification. See here.
NodeJS - pki.js provides functionality that should help in x509 verification.
C# - Useful functions can be found in the System.Security.Cryptography.X509Certificates namespace in .NET 8.
Java - This blog article covers a lot of gorund.

While the above list is by no means exhaustive, it should give you an idea of how you can verify certificates on your own server.

However, for the sake of convenience, we also provide an end-point for you to call to check the validity of a Face Certificate.

As before, on the Swagger Docs page authorize using the API Key you setup earlier.

Expand the /verify-face-certificate section and then click the Try it out button as shown below:

As before, after clicking the Try it out button, the following JSON text will become editable:

{
  "cert_pem": "-----BEGIN CERTIFICATE----- .... -----END CERTIFICATE-----",
  "secp256k1_private_key_base64": "(optional) DFvY0g1DbMA6Yazi+Zmi216v0SiJmks8bp1DT3RoBII="
}

cert_pem - specifies the certificate to be verified (in PEM format)

secp256k1_private_key_base64 - when included, this key will be used to decrypt the eID attributes in a Face Certificate.

If the certificate includes encrypted attributes and this key is not specified, they will be returned as base64 encoded bytes which can later be decrypted offline using the ECIES algorithm (using your private key).

If the attributes were included without specifying a public key for their encryption, this parameter can be omitted and the attributes will be returned as a plain-text JSON string.

The process of generating keypairs for use with the API is described here.

Encrypting Data/Keys using a Face Certificate

How to use Face Certificates to encrypt keys

As a Face Certificate contains a public key, it can be used to encrypt data. To decrypt the encrypted data, a user would, then, need the right private key.

This private key can only be generated from the user's face, SensePrint, and the purpose ID specified to generate the Face Certificate.

Hence, encrypted data can only be decrypted via a live Face Scan of the intended recipient.

The type of key contained in a Face Certificate is an Elliptic Curve Cryptography (ECC) key based on the Secp256k1 (Bitcoin) curve.

It is possible to directly use the public key in the Face Certificate to encrypt any arbitrary size of data using an implementation of Elliptic Curve Integrated Encryption Scheme (ECIES) in a programming language of your choice.

However, to make life simpler, we offer an end-point to encrypt data using a Face Certificate.

As a web end-point, we restrict the size of data to be encrypted. However, we suggest that instead of encrypting a large amount of data directly, the end-point can be used to encrypt a symmetric key or the private key from an assymetric key pair.

Then the encrypted key can be stored side by side with encrypted data. To decrypt the data, the steps needed would be:

Decrypt the encrypted key using a SensePrint, Face, and Purpose ID
Decrypt the encrypted data using the decrypted key in step 1

As before, on the Swagger Docs page authorize using the API Key you setup earlier.

Expand the /encrypt-with-face-certificate section and then click the Try it out button as shown below:

Upon clicking Try it out you should be able to submit the data as shown below:

{
  "face_certificate_pem": "-----BEGIN CERTIFICATE----- ... -----END CERTIFICATE-----",
  "key_base_64": "MHQCAQEEIKu0Xuf...."
}

Please note that when you generate a Face Certificate, it is returned with line breaks. When you submit it through the Swagger Docs page, those line breaks need to be replaced with escaped \n characters to be a proper JSON representation.

However, if you submit the Face Certificate programaitically, you would not need to manually replace the line breaks with \n.

Face Decrypting Data/Keys

How to decrypt keys using a face

In the previous section, we saw how to encrypt a key using a Face Certificate.

The key is encrypted using ECIES using the public key in the Face Certificate.

To decrypt the encrypted key, the right private key must be generated from your SensePrint, face, and purpose ID.

As before, on the Swagger Docs page authorize using the API Key you setup earlier.

Expand the /face-decrypt section and then click the Try it out button as shown below:

Upon clicking Try it out you should be able to submit the data as shown below:

{
  "encrypted_key_base_64": "MHQCAQEEIKu0Xuf....",
  "face_base_64": "face_base_64",
  "liveness_tolerance": "REGULAR",
  "os": "DESKTOP",
  "password": "(optional) password",
  "purpose_id": "login:www.example.com",
  "senseprint_base_64": "senseprint_base_64",
  "verifiers_auth_key": "(optional) verifiers_auth_key"
}

The following summarizes the parameters for the request:

encrypted_key_base_64 - this is the encrypted key that was obtained using the /encrypt-with-face-certificate end-point described in the previous section.
face_base_64 - the face of the SensePrint eID holder.
liveness_tolerance (optional) - the tolerance of the liveness algorithm used to check for a live face before allowing the decryption to proceed.
os (optional) - indicates the operating system the image was captured on. Valid values are ANDROID / IOS / DESKTOP.
password (optional) - the same password (if one was specified) that was used during the SensePrint generation.
purpose_id - a unique purpose ID. This should match the purpose ID that was used to generate the Face Certificate used to encrypt the key.
senseprint_base_64 - the foundational SensePrint eID in raw form.
verifiers_auth_key (optional) - the same verifiers_auth_key (if one was specified) that was used during the SensePrint generation.

Face Signing

How an eID holder can use their SensePrint to sign a piece of data

Just as a private key can be used in cryptographic systems to sign a piece of data (usually its SHA256 hash), in Face PKI, a face, SensePrint, and a purpose ID can be used to sign some data.

The steps in this process are the following:

Generate a SHA256 hash of the data to be signed.
Base64 encode the SHA256 hash.
Send the Base64 encoded string to the server along with a SensePrint and a purpose ID.

The algorithm used for the signature is the Elliptic Curve Digital Signature Algorithm (ECDSA). Thus, the generated signtature can also be independently verified using a Face Certificate containing the public key for the same purpose ID.

As before, on the Swagger Docs page authorize using the API Key you setup earlier.

Expand the /face-sign section and then click the Try it out button as shown below:

Upon clicking Try it out you should be able to submit the data as shown below:

{
  "data_sha256_base_64": "MHQCAQEEIKu0Xuf....",
  "face_base_64": "face_base_64",
  "liveness_tolerance": "REGULAR",
  "os": "DESKTOP",
  "password": "(optional) password",
  "purpose_id": "login:www.example.com",
  "senseprint_base_64": "senseprint_base_64",
  "verifiers_auth_key": "(optional) verifiers_auth_key"
}

The following summarizes the parameters for the request:

data_sha256_base_64 - given a piece of data (bytes), it should then be SHA256 hashed to obtain 256 bits. The hash should then be Base64 encoded to send it to the API
face_base_64 - the face of the SensePrint eID holder
liveness_tolerance (optional) - the tolerance of the liveness algorithm used to check for a live face before allowing the signing to proceed.
os (optional) - indicates the operating system the image was captured on. Valid values are ANDROID / IOS / DESKTOP.
password (optional) - the same password (if one was specified) that was used during the SensePrint generation.
purpose_id - a unique purpose ID. This should match the purpose ID that was used to generate the Face Certificate that will be used to verify the signature.
senseprint_base_64 - the foundational SensePrint eID in raw form.
verifiers_auth_key (optional) - the same verifiers_auth_key (if one was specified) that was used during the SensePrint generation.

Face Signature Verification

How to verify a Face Signature using a Face Certificate

In the previous section we have seen how to sign a piece of data using a SensePrint, a face, and a purpose ID.

The signature is a standard Elliptic Curve Digital Signature Algorithm (ECDSA) and it is recommended that the signature be independently verified without calling the server API. As an example, the following steps describe how to verify the signature using OpenSSL:

Ensure the raw data for which the signature is being generated is saved to a file data.txt
Ensure that the signature generated through is saved in a file called signature.b64
Convert the signature to raw bytes from base64: openssl base64 -d -in signature.b64 -out signature.der
Extract the public key from the (you can save the Face Certificate to a file called face-cert.pem after generating it) openssl x509 -in face-cert.pem -pubkey -noout > face-cert-pub-key.pem
Verify the signature using the public key: openssl dgst -sha256 -verify face-cert-pub-key.pem -signature signature.der data.txt

We have used OpenSSL as an example, but it should be possible to use a cryptographic library in a language of your choice to accomplish the same functionality.

However, for ease of development (in pre-production mode), we also provide an end-point to verify a face signature. Even though we provide an end-point, it is highly recommended that developers put in the effort to verify signatures on their own servers. This will not only decrease latency, but also preserve privacy.

As before, on the Swagger Docs page authorize using the API Key you setup earlier.

Expand the /verify-face-signature section and then click the Try it out button as shown below:

Upon clicking Try it out you should be able to submit the data as shown below:

The following summarizes the parameters for the request:

data_sha256_base_64 - given a piece of data (bytes), it should then be SHA256 hashed to obtain 256 bits. The hash should then be Base64 encoded to send it to the API.
ecdsa_der_signature_base_64 - this is the signature obtained from the SensePrint, face and purpose ID using the /face-sign end-point discussed in the previous section.
face_certificate_pem - this is the Face Certificate generated for the same purpose ID. When obtaining the certificate, the API returns the string with line breaks. However, line breaks are not valid JSON so when using the Swagger Docs page, be sure to replace line breaks in the certificate string with \n. When programatically calling the API this would not be required.

Accessing the server for testing

How to access the server for testing

While testing on a local machine is fine for initial exploration, you may soon want to deploy the server on the cloud so that multiple developers have access to it.

For this purpose, we recommended running Ubuntu 22.04 on an AWS EC2 instance and then running the Docker image on that instance.

Some recommended instance types are c6i.2xlarge, r7iz.xlarge

You can also find comparable instances on other cloud providers.

After starting an EC2 instance, you can install Docker on that instance by following .

Then, you can run the Docker image in the same way that was detailed in a previous section ().

However, once the server is running on the instance, you will need it to be accessible outside the instance so that developers can connect to it.

The Easy Way

After running the server, the easiest way to access it from outside the local machine/VM is to use ngrok.

To install ngrok, simply use:

After installing ngrok, run:

Once the ngrok client starts, it will show a line as:

Now you can access the live docs page via:

The Harder Way

If you started the server on an EC2 instance, you would need to open port 7777 in your security group.

This would enable you to access the server from outside the EC2 instance. However, it would be accessible only via http and not https and is therefore not recommended.

It is possible to set up an AWS Elastic Load Balancer with your EC2 instance(s) as a target(s).

This could enable you to set up SSL at the Load Balancer and redirect traffic to your instance via http.

Other deployment options such as ECS are also available.

However, such advanced configuration is left to a later stage.

Liveness Image Requirements

If you use Liveness in any API call, the captured image must be constrained.

Our mobile SDKs already capture the best possible image that will work well with Liveness image requirements.

If you are not using our mobile SDKs, please see the image requirements listed at the following link:

SenseCrypt Mobile SDKs

Biometric Verification and decryption on mobile

The SenseCrypt Mobile SDKs allow a mobile app to read and decrypt SensePrint eID QR codes.

The SDKs have two flavours - online, offline.

The online SDK is small in size, but it needs to connect with the server for SensePrint eID verification/decryption.

The offline SDK is larger in size, but it can be used to verify/decrypt SensePrint eIDs with no network connectivity and completely on a mobile device.

The choice between online and offline versions will depend on your use-case and deployment scenario.

Both online and offline SDKs are offered for Android and iOS.

Licensing

Information about licensing and authorization for the mobile SDKs

The licensing for the Mobile SDKs is governed by a license file called mobile.lic.

Android SDK

The Android SDK is located in the SenseCrypt-Android-SDKfolder. The following screenshot shows the location of the mobile.lic and closed source core SDK library in the reference UI application:

iOS SDK

The iOS SDK is located in the SenseCrypt-iOS-SDK .

The following screenshot shows the location of the mobile.lic and closed source core SDK library in the reference UI application:

Like the server.lic files, mobile.lic determines the usage quotas for mobile devices.

Authorization for Online SDKs

How online mobile SDKs connect with the server

The online SDKs function by communicating with the SenseCrypt server using an end-to-end encrypted protocol.

There are two methods available for authorization:

Mobile API Key - Configured in the app source code constants, this is the easiest method during development. Correspondingly, the mobile key is configured on the server as we saw in the server's section.
JWT Token - A JWT token mechanism allows you to use your own authorization mechanism. To use a device specific JWT, follow the following steps:
1. Get the device ID by calling getDeviceId() from the mobile SDK.
2. Pass the device ID along with authentication parameters (such as username/password) to your own application server.
3. If authentication succeeds, make a server-to-server call from your application server to your SenseCrypt server's /gen-jwt end-point passing in the device ID as the instance_id. See the section for more details. The server-to-server call can be authorized using the api_key that you defined in the section.
4. Return the generated JWT token to the mobile device.
5. Store the JWT token on the device for future use.
6. When initializing the mobile SDK, pass the server URL along with Bearer your_jwt_token as the authentication parameter.

By default, the source code uses the Mobile API Key configured in the code constants. Since a JWT flow involves your own authentication, implementing such a flow is left to you. However, the mobile SDKs do support such a flow out of the box should you choose to implement it.

Liveness and Face Capture

The Face Capture methods available in the mobile SDKs

What is a Liveness check?

A Liveness check refers to the act of determining if an image captured by a camera is of a real person rather than their image printed on paper, shown on a screen, or a capture of someone wearing a 3D Mask.

Before a Liveness check, one or more good images of a face must be captured.

There are two methods for capturing faces: Active Face Capture and Passive Face Capture.

Active Face Capture asks the user to move their head in 3 random directions while Passive Face Capture works with just a single good image. The aim of Active Face Capture is to avoid injection attacks where a malicious actor injects a single image such that the mobile app believes that the image comes from a legitimate camera. Since it is harder to capture a video of a user in which their head position is in all requested directions, Active Face Capture mitigates against injection attacks.

Even when Active Face Capture is selected as a face capture method, when liveness is enabled for SensePrint verification, it is always followed by a Liveness check to mitigate against screen, print, and 3D mask attacks.

For customers who do not need protection against advanced threat vectors such as 3D masks, Active Face Capture in itself can act as a Liveness check. However, we recommend that customers with advanced protection requirements should always use Liveness checks on top of Active Face Capture.

Active Face Capture

Active Face Capture can only be performed using a front camera. To verify a face against a SensePrint using Active Face Capture, follow these steps:

Create an Active Face Capture Session: This must be done before the camera preview begins.
Camera Preview: The camera preview runs on the screen, capturing frames. Afterward, the frames undergo preprocessing to prepare them for the SDK. First, the images are rotated according to the SDK's requirements, then compressed into JPEG/PNG format and converted into byte arrays. These byte arrays are then passed to the SDK to determine the face position.
Active Face Capture Result : The SDK returns an Active Face Capture Result for each frame, which developers can use to update the UI. Basically, the UI needs to handle four components based on the result: expected user's facial direction, their current head position, animation status, and direction strength indicators. Developers can update the expected direction name in the text, show or hide animations, and display a direction strength indicator to guide the user to look in specific directions (e.g., bottom, left, up). These values should be continuously updated until the face scan is completed.

Three different UI options assist the user in completing the face scan. The UI includes:

Directional Animation: Brief animations guide the user to look in the required directions.
Direction Strength: An arc indicates the direction the user should look along with indicating the amount the user is looking in that direction, marking a tick when completed.
Instructions Text : Some text shows the expected facial direction by SDK
Progress Ticks: As each direction is completed, developers needs to update the UI to reflect the completed ticks. The following image shows some of these concepts as implemented in the reference UI app:

Errors: The SDK throws an error when issues occur, such as when the face is not live, multiple faces are detected, or the license has expired. Developers need to handle all these errors appropriately.

Passive Face Capture

Passive Face Capture can be performed using both the front and back camera. To verify a face against a SensePrint using Passive Face Capture, follow these steps:

Create a Passive Face Capture Session: Similar to the Active Face Capture sessions, this must be done before the camera preview begins.
Camera Preview: Similar to Active Face Capture, refer to the steps outlined in Active Face Capture Step 2 for guidance.
Passive Face Capture Processing Result: Based on the result, the developer should update the UI accordingly. There are two key variables: currentHeadPose and isCompleted. The expected head pose should be displayed on the UI to guide the user in completing the face scan.
Errors: Similar to Active Face Capture, refer to the steps outlined in Active Face Capture, Step 4

Once the face scan is completed, the session is passed to the next screen and it can later be used to generate or verify a SensePrint.

Android SDK

Information about the Android SDK

The Android SDK includes a core native library (closed-source) and a reference UI implementation provided in source code format. This setup allows you to fully customize the UI according to your application’s requirements. While this page provides an overview, you can read more detailed documents at .

The Android SDK comes in two variants:

Online: This variant is small in size, but it needs to connect with the server for SensePrint eID verification/decryption.
Offline: This variant larger in size, but it can be used to verify/decrypt SensePrint eIDs with no network connectivity and completely on a mobile device.

Both variants utilize the same reference UI implementation. This means the same Kotlin source code is used for both variants. In the provided Android project you can use the following gradle task to switch between the variants:

This gradle task updates the project's dependencies, app name, application id, app icons and changes the Constants for the respective variant. After performing a gradle sync the app can be build in the selected variant.

Constants

The Constants class contains different app-wide configuration values that can customize the flow of the app. The following are notable constants for customization:

Common to both online/offline SDKs

GENERATION_CAPTURE_MODE - the face capture method used while generating a SensePrint. Can be one of FaceCaptureMode.ActiveCaptureFrontCamera, FaceCaptureMode.PassiveCaptureFrontCamera, or FaceCaptureMode.PassiveCaptureBackCamera.
VERIFICATION_CAPTURE_MODE - the face capture method used while verifying a SensePrint. Can be one of FaceCaptureMode.ActiveCaptureFrontCamera, FaceCaptureMode.PassiveCaptureFrontCamera, or FaceCaptureMode.PassiveCaptureBackCamera.
SENSEPRINT_VERIFIER_AUTH_KEY - It is possible to generate SensePrint eID QR codes targeted at a specific verifier. See the section on . When the verifiers_auth_key attribute is specified while generating the QR, that QR code can only be read by a specific verifier. Set the value of SENSEPRINT_VERIFIER_AUTH_KEY to the value you used for verifiers_auth_key while generating the QR code.

Online SDK only

API_SERVER_URL - this value should point to your server that you deployed using the Docker. If you exposed the server using ngrok use the Ngrok URL value.

Offline SDK only

ISSUERS_PUBLIC_KEY - this value is present only in the offline SDK. If you started the server in Certificate Authority mode by setting the issuers_private_key, then the server will issue signed SensePrints. In order to verify them, you must set the corresponding ISSUERS_PUBLIC_KEY in the Constants.

Important Activities

SplashActivity Responsible for initializing the SDK and loading the necessary Machine Learning models into memory. The SplashActivity culminates by loading the MainActivity.
MainActivity A simple interface displaying entry points for SensePrint eID QR generation, verification and reading. Users can interact with buttons to proceed with either operation.
QRScanActivity This activity can be invoked with or without intent extras. When invoked without any extras, the activity will interpret the launch as an attempt to capture QR data that will subsequently be decrypted via a face scan. Based on the capture type which is set up in Constants.kt configuration, after scanning a QR code (when invoked without intent data), the app will proceed to PreScanningActiveCaptureActivity activity for Active Face Capture or PreScanningPassiveCaptureActivityfor Passive Face Capture. When the QRScanActivity is invoked with an extra, the activity will attempt to read the non-face-encrypted regions of a SensePrint eID QR code and show that data by passing it in an intent and launching the ReaderDetailActivity.
ActiveFaceCaptureActivity This activity may be invoked with or without intent extras. When invoked with an extra containing the SensePrint bytes (from the QRScanActivity), the activity will attempt to decrypt the SensePrint bytes and pass the metadata along to the PersonDetailActivity. When invoked without any extras, the activity will pass the captured image via an intent by launching the GenerateQRActivity.
PassiveFaceCaptureActivity This activity works in exactly the same way as the ActiveFaceCaptureActivity. The only difference is that it captures a single good image from the session.
ReaderDetailActivity This activity gets clear text data (non-face encrypted) in an intent and displays it on the screen for viewing.
PersonDetailActivity This activity shows the eID attributes that are passed to it via an intent extra.
GenerateQRActivity When invoked from the ActiveFaceCaptureActivity or PassiveFaceCaptureActivity, this activity prompts for input of eID attributes such as name, ID etc. Upon accepting the input, the activity invokes the ShowQRActivity to show the generated QR code.
ShowQRActivity This activity accepts QR code bytes as an intent extra, and shows a generated QR code containing those bytes on the screen.

Additional Notes

The SDK is designed for modularity, allowing full customization of the user interface and integration flows while maintaining core functionality within a closed-source native library.

This document serves as a guide to understand and integrate the Android SDK into your application. Be sure to configure the constants accurately to align with your deployment setup and security requirements.

iOS SDK

Information about the iOS SDK

The iOS SDK includes a core native library (closed-source) and a reference UI implementation provided in source code format. This setup allows you to fully customize the UI according to your application’s requirements. While this page provides an overview, you can read more detailed documents at .

The iOS SDK comes in two variants:

Online: This variant is small in size, but it needs to connect with the server for SensePrint eID verification/decryption.
Offline: This variant larger in size, but it can be used to verify/decrypt SensePrint eIDs with no network connectivity and completely on a mobile device.

Both variants utilize the same reference UI implementation. This means the same Swift source code is used for both variants. In the provided XCode workspace there are two XCode projects that point to the same source files. Based on the selected schema you can either build & run the online or offline app variant.

Constants

The Constants files specify configuration parameters that can be set before compile time. The below screenshot shows the location of the Constants files for the Online and Offline variant:

Important Constants (online SDK):

API_SERVER_URL - This value must point to your deployed server (e.g., via Docker). If using a temporary tunneling service like ngrok, ensure this constant holds the correct ngrok URL.

Important Constants (offline SDK):

Important Views

SplashScreen
Responsible for initializing the SDK and loading the necessary Machine Learning models into memory. This is the first view triggered when the application launches. The SplashScreen culminates by loading the MainView.
MainView A simple interface displaying entry points for SensePrint eID QR generation, verification and reading. Users can interact with buttons to proceed with either operation.
GenerateQRView Triggered from either the ActiveFaceCaptureView or the PassiveFaceCaptureView, this activity allows the user to input eID attributes (e.g., name, record ID) needed for QR code generation.
QRScannerView Scans the generated QR code containing the user’s face and other details. If the QR code is password-protected, the user will be prompted to enter the password before personal details can be decrypted.
PassiveFaceCaptureView This view captures a single, good image of a user using the camera. The captured image can then be used to generate/verify a SensePrint QR.
ActiveFaceCaptureView This view uses the camera to capture facial images but prompts the user to position their head in 3 random positions before their face is captured. This presents added security against injection attacks.
PersonDetailView This View contains all the details user will see after successfully scanning and decrypting a SensePrint QR code.

Additional Notes

The SDK is designed for modularity, allowing full customization of the user interface and integration flows while maintaining core functionality within a closed-source native library.

This document serves as a guide to understand and integrate the iOS SDK into your application. Be sure to configure the constants accurately to align with your deployment setup and security requirements.

Conclusion

Onward and upward!

If you got this far and followed all the steps, you now know:

Design Principles - How SenseCrypt is a privacy-preserving, non-biometric technology which offers biometric verifiability for individuals.
Licensing - How SenseCrypt licensing works via the server.lic and the mobile.lic files.
Launching the server - How to launch the server both on your own machine and in the cloud.
Using the Swagger Docs Page - How to quickly explore APIs via the server's Swagger Docs page.
Better and easier to use documentation (recommended) via
Generating a SensePrint - How to use a deployed server to generate your first SensePrint eID QR.
Generating raw SensePrint bytes - How to generate raw SensePrint bytes and how a SensePrint eID QR is nothing more than a QR code containing these raw bytes.
Verifying raw SensePrint bytes - How the decryption of SensePrint bytes also acts as Biometric Verification. The act of successful decryption is equivalent to a successful Biometric Verification. To verify a SensePrint eID QR, first the raw bytes are read from the QR and then this process is invoked.
Face Certificates - their generation and verification
Mobile SDKs - How to access and use the mobile SDKs.
Mobile SDK Components - The important components in the Mobile SDKs.

We hope this documentation will help you get started with using SenseCrypt eID.

Our team is dedicated to ensuring your success while adopting our technologies.

We look forward to supporting you in your journey of building amazing eID products using our technology.

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Appendix

Additional information

In this section you can find additional information to guide you in your eID journey.

The section talks about the privacy focused features of SensePrints and how they can be verified without storing biometrics.

The section outlines the fundamental privacy by design goals that the system seeks to build on.

Finally, the section highlights how SenseCrypt technology can fit within a bigger picture of a national ID framework having one foundational eID (SensePrint) and multiple privacy preserving functional eIDs (Face Certificates).

Privacy Preserving Biometric Verifiability

Why is SenseCrypt non-biometric in nature?

Traditional Face Recognition

As we have seen in the previous section, traditional Face Recognition depends on generating and storing a biometric template during enrollment and then, subsequently, generating and comparing a new template during verification.

Since two generated feature vector / templates can be compared, then if one is stored in a database operated by company A, and the other is stored in a database operated by company B, a comparison can be made between them to determine if it is the same person.
This is despite the fact that company A and company B may be unrelated to each other. This violates the principle of Unlinkability in a Privacy by Design framework.

Privacy Preservation

The ability to compare feature vectors / templates with one another in traditional biometrics is what makes the stored data biometric in nature.

To enable privacy preservation, a system should be able to generate any number of different data structures (akin to feature vectors / templates) from a single image. If it does so, then the data structures thus generated cannot be compared to one another.

Since there is no way to compare the data structures generated by a privacy preserving framework, if they were stored in separate databases, there would be no way to find out that the data structures correspond to the same person. This satisfies the principle of Unlinkability in a Privacy by Design framework. This is also what makes the data structures non-biometric in nature.

Biometric Verifiability

We have seen how two Privacy Preserving data structures generated from exactly the same data cannot be compared to each other to determine any kind of similarity.

But, given a Biometric Sample (such as a facial image), can it be determined that the Privacy Preserving data structure was generated from a similar biometric sample?

As it turns out, the above is made possible through the SenseCrypt algorithm.

Thus, even though the data structures (SensePrints) generated by SenseCrypt algorithm are non biometric in nature, they can be used for Biometric Verification.

Principles of Privacy Preserving Face Verification

Privacy by Design principles for systems

In the previous section we have seen how SensePrints are data structures that are privacy preserving (it cannot be determined that two SensePrints, when compared to each other, were generated from the same person's face).

We have also seen how SensePrints have the property of Biometric Verifiability (given a person's face and a SensePrint, it is possible to verify that it was the same person for whom the SensePrint was generated earlier).

In this section, we highlight the Privacy by Design principles that should underscore any good system.

Unlinkability - Given two data structures (SensePrints) alone, it should be impossible to tell if they were generated from the same data (face + metadata) or from different data.
Irreversability - Given a SensePrint, it should be impossible to obtain the original face that was used to generate the SensePrint. This property is typically not satisfied by traditional Face Verification systems as they offer a similarity score between two templates. This similarity score makes traditional technology susceptible to Hill Climbing Attacks.
Revocability and Renewability - In traditional systems, it is possible to generate only one feature vector / template from a single image. Multiple SensePrints can be generated from the same person. While you can't change your face, you can change your SensePrint as needed.

If a SensePrint needs to be replaced, a new one can be generated from exactly the same image and data and such a SensePrint would be entirely different from the one being revoked.

Foundational vs Functional eID

How Face PKI enables functional eID

For an eID system, there should exist exactly one foundational eID for a person.

However, for privacy preservation, if that foundational eID is used across different systems, it makes the foundational eID linkable. As an example, if your passport number was stored in many different databases, it would make it easy to track all your interactions across those databases.

Functional eID solves this problem by facilitating a pairwise functional eID for an ID Holder and a particular verifier/service/purpose.

Functional eID is enabled through SenseCrypt's Face PKI features. The following steps decribe how this works:

Root Certificate - The issuer of the foundational ID has a root certificate that all verifiers can trust. All verifiers, first obtain the root certificate and cache it.
Foundational eID Issuance - After authenticating a prospective eID candidate, the ID issuer issues a SensePrint eID. This eID forms the foundation eID.
Face Certificate (functional eID) - When the eID holder interacts with a service, the service (verifier) needs to validate that the holder is real. To do so, the service requests the holder for a Face Certificate that is signed by the foundational eID's issuer. Such a Face Certificate contains a unique public key of the eID holder. The public key is, however, different for each verifier/service/purpose thus preserving privacy through unlinkability.

A Face Certificate is generated from a user's face, and their SensePrint eID. It is generated for a particular purpose ID. The same purpose ID must be specified while verifying the eID holder using a Face Certificate. Since the purpose ID is expected to be unique for every service that the user interacts with, the public key in the Face Certificate is pairwise and preserves privacy through unlinkability.

The verifier can trust the Face Certificate provided by an eID holder is authentic by verifying its signature using the trusted Root Certificate. The Face Ceritifcate can be cached by a verifier after a first functional eID verification performed in the step described below.

Functional eID Verification - When a user presents a Face Certificate to a verifier, the verifier only knows that the certificate is valid and has been issued by the foundational eID issuer. To verify that it is the actual eID holder who is presenting the certificate, the verifier presents a random challenge to the holder (e.g. a UUID). The eID holder must sign the challenge using an ephemeral private key that is generated from their face, their SensePrint eID, and for the specified service/purpose ID. The challenge is signed with the ephemeral private key and transmitted back to the verifier. The verifier can then verify the signature using the public key that is contained in the eID holder's Face Certificate.

A Face Certificate allows the verification of an eID holder using their face without a verifier having (or processing) the holder's face!

Generating a raw SensePrint

The core raw bytes data structure inside an eID QR code

In some use-cases it may be advantageous to just generate the raw SensePrint bytes without creating a pictorial QR code.

For example, if you want to store the SensePrint in a database, this may be the right route to take.

We assume you have gone through the previous step and have already authorized yourself using the API Key.

To generate the raw SensePrint bytes, expand the /senseprint-raw section and click on Try it out as before:

As before, the JSON input for the API call will become editable:

{
  "check_live_face_before_creation": false,
  "cleartext_data": {
    "masked_id": "A0123xxx"
  },
  "face_base_64": "face_image_bytes_as_base64",
  "liveness_tolerance": "REGULAR",
  "metadata": {
    "address": "123 Main St.",
    "name": "John Doe"
  },
  "os": "DESKTOP",
  "password": "(optional)",
  "record_id": "A0123453",
  "ref_face_base_64": "(optional) when specified, the face_base_64 will be compared to this reference face and the SensePrint will only be generated if the faces match",
  "require_live_face": true,
  "tolerance": "REGULAR",
  "verifiers_auth_key": "(optional) when specified, the SensePrint will require this key to decrypt"
}

The explanation of the fields has already been provided in the previous section.

We reuse the input from the API call to generate a QR code (previous section) as a sample input for this call:

{
  "face_base_64": 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",
  "metadata": {
    "address": "123 Main St.",
    "name": "John Doe"
  },
  "record_id": "A0123453",
  "require_live_face": true
}