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2014 | OriginalPaper | Buchkapitel

Camera Source Identification Game with Incomplete Information

verfasst von : Hui Zeng, Xiangui Kang

Erschienen in: Digital-Forensics and Watermarking

Verlag: Springer Berlin Heidelberg

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Abstract

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.

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Titel: Camera Source Identification Game with Incomplete Information
verfasst von: Hui Zeng
Xiangui Kang
Verlag: Springer Berlin Heidelberg
Buch: Digital-Forensics and Watermarking
Print ISBN: 978-3-662-43885-5

Electronic ISBN: 978-3-662-43886-2

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-662-43886-2_14

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