WebRTC Biometrics: Secure In-Browser Authentication

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WebRTC biometrics provide a secure, passwordless authentication method by leveraging real-time communication capabilities within web browsers, focusing on face authentication and liveness detection to enhance security and user experience. This approach minimizes data transmission by allowing local processing within the browser, thus protecting user privacy and reducing the risk of credential-based attacks. The implementation involves accessing the camera stream through WebRTC, capturing video frames, and using JavaScript-based libraries for face detection and feature extraction, which are compared to stored templates for authentication. To counteract spoofing attacks, liveness detection techniques such as passive and active liveness, as well as challenge-response mechanisms, are integrated. The document also highlights the importance of addressing browser fingerprinting concerns by minimizing data collection and employing privacy-preserving techniques like differential privacy or federated learning. The use of Didit, a platform offering APIs and advanced liveness detection, can simplify the integration of WebRTC biometrics into web applications.

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