%0 Conference Proceedings
%T Robust Resampling Detection in Digital Images
%+ Darmstadt University of Technology [Darmstadt]
%A Nguyen, Hieu, Cuong
%A Katzenbeisser, Stefan
%Z Part 1: Research Papers
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th International Conference on Communications and Multimedia Security (CMS)
%C Canterbury, United Kingdom
%Y Bart Decker
%Y David W. Chadwick
%I Springer
%3 Communications and Multimedia Security
%V LNCS-7394
%P 3-15
%8 2012-09-03
%D 2012
%R 10.1007/978-3-642-32805-3_1
%K Digital image forensics
%K resampling detection
%K targeted attack
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X To create convincing forged images, manipulated images or parts of them are usually exposed to some geometric operations which require a resampling step. Therefore, detecting traces of resampling became an important approach in the field of image forensics. In this paper, we revisit existing techniques for resampling detection and design some targeted attacks in order to assess their reliability. We show that the combination of multiple resampling and hybrid median filtering works well for hiding traces of resampling. Moreover, we propose an improved technique for detecting resampling using image forensic tools. Experimental evaluations show that the proposed technique is good for resampling detection and more robust against some targeted attacks.
%G English
%Z TC 6
%Z TC 11
%2 https://inria.hal.science/hal-01540903/document
%2 https://inria.hal.science/hal-01540903/file/978-3-642-32805-3_1_Chapter.pdf
%L hal-01540903
%U https://inria.hal.science/hal-01540903
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC11
%~ IFIP-TC6
%~ IFIP-CMS
%~ IFIP-LNCS-7394