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Breaking Steganography: Slight Modification with Distortion Minimization

Breaking Steganography: Slight Modification with Distortion Minimization
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Author(s): Zhenxing Qian (School of Computer Science, Fudan University, Shanghai, China), Zichi Wang (Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai, China), Xinpeng Zhang (School of Computer Science, Fudan University, Shanghai, China) and Guorui Feng (School of Communication and Information Engineering, Shanghai University, Shanghai, China)
Copyright: 2019
Volume: 11
Issue: 1
Pages: 12
Source title: International Journal of Digital Crime and Forensics (IJDCF)
Editor(s)-in-Chief: Feng Liu (Chinese Academy of Sciences, China)
DOI: 10.4018/IJDCF.2019010109

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Abstract

This article describes how to overcome the shortage of steganalysis for small capacity-based embedding. A slight modification method is proposed to break steganography. For a given image, traditional steganalysis methods are first used to achieve a preliminary result. For the “clear” image judged by steganalysis, it is still suspicious because of the incompleteness of steganalysis for small capacity. Thus, slight modifications are made to break the possibility of covert communication. The modifications are made on the locations with minimal distortion to guarantee high quality of the modified image. To this end, a proposed distortion minimization based algorithm using slight modification. Experimental results show that the error rate of secret data extraction is around 50% after implementation, which indicates that the covert communication of steganography is destroyed completely.

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