Continuous User Identity Verification Based Secure Internet Services
نویسنده
چکیده
We explore the continuous user verification for the secure internet services using biometrics in the session management. We have used the novel biometric modality named “Facial Recognition” for continuous user authentication. Given a camera pointing towards the user, we develop real-time facial recognition algorithm (CMM-Correlation Matrix memories) to automatically extract facial recognition as frames patterns using FPS (frames per second) concept. Unlike the typical continuous biometrics such as keystroke dynamics (KD), Facial recognition provides reliable authentication with a short delay, while avoiding explicit key-logging. For one second 30 frames of user face reaction will be captured and a unique descriptor is extracted based on the shape and position of face, as well as their temporal dynamics in the photo frame sequence. We implement the continuous authentication in online banking for secure services.
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