Breaking Steganography: Slight Modification with Distortion Minimization

Zhenxing Qian, Zichi Wang, Xinpeng Zhang, Guorui Feng

Source Title: International Journal of Digital Crime and Forensics (IJDCF)11(1)

ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781522565147|DOI: 10.4018/IJDCF.2019010109

MLA

Qian, Zhenxing, et al. "Breaking Steganography: Slight Modification with Distortion Minimization." IJDCF vol.11, no.1 2019: pp.114-125. http://doi.org/10.4018/IJDCF.2019010109

APA

Qian, Z., Wang, Z., Zhang, X., & Feng, G. (2019). Breaking Steganography: Slight Modification with Distortion Minimization. International Journal of Digital Crime and Forensics (IJDCF), 11(1), 114-125. http://doi.org/10.4018/IJDCF.2019010109

Chicago

Qian, Zhenxing, et al. "Breaking Steganography: Slight Modification with Distortion Minimization," International Journal of Digital Crime and Forensics (IJDCF) 11, no.1: 114-125. http://doi.org/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.