Identifying a steganographer in realistic and heterogeneous data sets

Andrew D. Ker; Tomás Pevný

doi:10.1117/12.910565

13 February 2012 Identifying a steganographer in realistic and heterogeneous data sets

Andrew D. Ker, Tomás Pevný

Proceedings Volume 8303, Media Watermarking, Security, and Forensics 2012; 83030N (2012) https://doi.org/10.1117/12.910565
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

We consider the problem of universal pooled steganalysis, in which we aim to identify a steganographer who sends many images (some of them innocent) in a network of many other innocent users. The detector must deal with multiple users and multiple images per user, and particularly the differences between cover sources used by different users. Despite being posed for five years, this problem has only previously been addressed by our 2011 paper. We extend our prior work in two ways. First, we present experiments in a new, highly realistic, domain: up to 4000 actors each transmitting up to 200 images, real-world data downloaded from a social networking site. Second, we replace hierarchical clustering by the method called local outlier factor (LOF), giving greater accuracy of detection, and allowing a guilty actor sending moderate payloads to be detected, even amongst thousands of other actors sending hundreds of thousands of images.

Citation Download Citation

Andrew D. Ker and Tomás Pevný "Identifying a steganographer in realistic and heterogeneous data sets", Proc. SPIE 8303, Media Watermarking, Security, and Forensics 2012, 83030N (13 February 2012); https://doi.org/10.1117/12.910565

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