Liveness test

A liveness test, liveness check or liveness detection is an automated means of checking whether a subject is a real person or part of a spoofing attack.

In a video liveness test, users are typically asked to look into a camera and to move, smile or blink, and features of their moving face may then be compared to that of a still image. Artificial intelligence is used to counter presentation attacks such as deepfakes or users wearing hyperrealistic masks, or video injection attacks.^[1] The technique is used as part of know your customer checks in financial services^[2] and during facial age estimation.^[3]

Other forms of liveness test include checking for a pulse when using a fingerprint scanner^[4] or checking that a person's voice is not a recording or artifically generated during speaker recognition.^[5]

References

^ Simonchik, Konstantin (2024-05-02). "Video injection attacks: What is that and the way forward?". Biometric Update. Retrieved 2025-01-02.
^ Vincent, James (May 18, 2022). "Liveness tests used by banks to verify ID are "extremely vulnerable" to deepfake attacks". The Verge.
^ Omran, N; Alrayes, M; Khlifa, Z; Alfagi, A (July 2022). "Real-Time Liveness Detection Algorithm Based on Eyes Detection and Utilize Age Estimation Technique to Build a Controllable Environment" (PDF). International Science and Technology Journal. 30.
^ "How to prove and verify someone's identity". GOV.UK.
^ Slivova, Martina; Voznak, Miroslav; Tovarek, Jaromir; Partila, Pavol (March 1, 2022). "Detection of speaker liveness with CNN isolated word ASR for verification systems". Multimedia Tools Appl. 81 (7): 9445–9457. doi:10.1007/s11042-021-11150-1 – via ACM Digital Library.

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[1] Simonchik, Konstantin (2024-05-02). "Video injection attacks: What is that and the way forward?". Biometric Update. Retrieved 2025-01-02.

[2] Vincent, James (May 18, 2022). "Liveness tests used by banks to verify ID are "extremely vulnerable" to deepfake attacks". The Verge.

[3] Omran, N; Alrayes, M; Khlifa, Z; Alfagi, A (July 2022). "Real-Time Liveness Detection Algorithm Based on Eyes Detection and Utilize Age Estimation Technique to Build a Controllable Environment" (PDF). International Science and Technology Journal. 30.

[4] "How to prove and verify someone's identity". GOV.UK.

[5] Slivova, Martina; Voznak, Miroslav; Tovarek, Jaromir; Partila, Pavol (March 1, 2022). "Detection of speaker liveness with CNN isolated word ASR for verification systems". Multimedia Tools Appl. 81 (7): 9445–9457. doi:10.1007/s11042-021-11150-1 – via ACM Digital Library.

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See also

References