Feasibility study of a camera-based PUF in a realistic scenario

Supply chain management is critical in industrial efforts to reduce costs and time, stabilize product supply, and improve profitability. Surveillance cameras play a significant role in supply chain management, as they can record work activities to achieve appropriate monitoring of company operations. A solution for ensuring the reliability of the video taken by a surveillance camera is to achieve data integrity using a cryptographic algorithm. Another important solution is the identification of a surveillance camera to ensure the traceability of video. This paper proposes a novel approach for video-based fingerprint extraction and key generation, that can be used for camera PUF construction. Our experiment shows that a 256-bit key can be extracted from 50 frames of a normal video with a resolution of 800 X 600 pixels, and we theoretically prove that our methodology satisfies the randomness, uniqueness, steadiness, and unpredictability requirements. Our PUF construction can thus be used to identify a surveillance camera from a video.