Camera Source Identification Game with Incomplete Information

摘要

Image forensics with the presence of an adversary has raised more and more attention recently. A typical case is the interplay between the sensor-based camera source identification and fingerprint-copy attack. This paper gives a game theory analysis in such an adversarial environment. We use a counter anti-forensic method based on noise level estimation to detect the possible forgery (forgery test). Next, we introduce a game theory model to evaluate the ultimate performance when both the investigator and the forger have complete information. Finally, for a more practical scenario that one of the parties has incomplete information, a Bayesian game is introduced and the ultimate performance is compared with that of complete information game.