Source Distinguishability Under Distortion-Limited Attack: An Optimal Transport Perspective

• Published in: IEEE transactions on information forensics and security Vol. 11; no. 10; pp. 2145 - 2159
• Main Authors: Barni, Mauro, Tondi, Benedetta
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adversarial signal processing; Computer information security; cybersecurity; Distortion; Distortion measurement; earth mover distance (EMD); Error analysis; Error probability; Errors; Forensics; game theory; Games; hypothesis testing; Mean square errors; Mean square values; Multimedia communication; multimedia forensics; optimal transportation theory; Optimization; Security; source identification

We analyze the distinguishability of two sources in a Neyman-Pearson setup when an attacker is allowed to modify the output of one of the two sources subject to an additive distortion constraint. By casting the problem in a game-theoretic framework and by exploiting the parallelism between the attac...