Toward A Real-Time Elliptic Curve Cryptography-Based Facial Security System

This paper presents a novel approach for a facial security system using elliptic curve cryptography. Face images extracted from input video are encrypted before sending to a remote server. The input face images are completely encrypted by mapping each pixel value of the detected face from the input video frame to a point on an elliptic curve. The original image can be recovered when needed using the elliptic curve cryptography decryption function. Specifically, we modify point multiplication designed for projective coordinates and apply the modified approach in affine coordinates to speed up scalar point multiplication operation. Image encryption and decryption operations are also facilitated using our existing scheme. Simulation results on Visual Studio demonstrate that the proposed systems help accelerate encryption and decryption operations while maintaining information confidentiality.