The biometric sensors have changed the mode of authentication of who we are. Biometrics promises to offer speed and convenience by just about unlocking your phone using your face to getting through the metal fence at border control with a fingerprint.
But as the biometrics system proves mainstream, it becomes targeted by advanced attacks such as deepfake spoofing. This necessitates the need to counter deepfakes in secure biometrics.
What are Biometric Sensors?
Biometric sensors are a measure of some biologically distinct features:
Fingerprint analyses are done using the ridges and patterns.
Facial recognition cameras trace facials and feature mapping.
Patterns in the eye are captured by iris scanners.
Voice recognition is able to detect individualist tones.
Such sensors transform the physical properties into digital templates which can be matched to confirm identity.
In what Situation Are They Used?
Phones and computers
Security check-ins at the airports
Access control at work place
Online banking
Law enforcement
Spoofing Threat
Biometrics sensors have been tricked by hackers
Silicone-imprinted fake prints.
Facial recognition photos which are printed.
Voice deepfakes are intended to deceive voice recognition systems.
Fake faces and voice are now more convincing to create with AI than ever before. Voice authentication can be circumvented by deepfake of a voice of a CEO authorizing transactions.
Meet Deepfake Detection
The newer biometric systems have also incorporated deepfake detection to help against spoofing. The systems affix what is called liveness detection, which is to ascertain that the face is real, and live, and three-dimensional as opposed to just an image or video.
The Deepfake detectors scan indicators of manipulation:
Abnormal skin tissues.
Odd flashing.
Lighting inconsistencies.
Advantages of Safe Biometric Sensors
Faster verification
Less password-fatigue
Increased security in conjunction with deepfake detection
Prevention of frauds of sensitive transactions
Culture of Best Business
Biometric solutions that have deepfake as an in-built measure.
Keep updated the detection algorithms by adapting to the threats.
Train the users on spoofing risks.
Use biometrics with other security levels.
Conclusion
The future of identity verification is biometric sensors, which, however, cannot be perfect. The problem is that deepfake technologies are a reality and a threat to biometric sensor, but when implemented as a strong deepfake detection system, biometrics can be one step in front to ensure safe and smooth identity verification.
