Countering Anti-forensics of SIFT-based Copy-Move Detection

Countering Anti-forensics of SIFT-based Copy-Move Detection

연구 분야: Strategies

학회: 2020 25th International Conference on Pattern Recognition (ICPR)

Forensic analysis is used to detect image forgeries e.g. the copy move forgery and the object removal forgery, respectively. Counter forensic techniques (aka anti-forensic methods to fool the forensic analyst by concealing traces of manipulation) have become popular in the game of cat and mouse between the analyst and the attacker. Classical anti-forensic techniques targeting on SIFT keypoints have been established with particular emphasis on keypoint removal in the context of copy move forgery detection. In this paper we propose a forensic approach countering SIFT keypoint removal by changing to a different type of keypoints in forensic analysis, clearly demonstrating benefits over traditional SIFT keypoint oriented techniques.