An anti-statistical analysis LSB steganography incorporating extended cat-mapping

Authors:
Wenxiao Chen;Jing Cai;Siwei Li
Affiliations:
Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, P.R. China;Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, P.R. China;Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, P.R. China
Venue:
APPT'07 Proceedings of the 7th international conference on Advanced parallel processing technologies
Year:
2007

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Abstract

In this paper, we propose a modified LSB steganography which resists most of the popular statistical analysis-based steganalysis, such as SPA(Sample Pair Analysis) and RS. The modified algorithm does not solely depends on embedding secret message into the cover image as the conventional LSB watermarking method does, but increases or decreases the candidate pixel's value by two in accordance with the number of the pixel's surrounding pixels whose LSB is positive. We discuss on the basic principle of the proposed algorithm and experiments show that the improved LSB steganography has a good robustness to statistical analysis. An extended cat-mapping is introduced in this paper which will better encrypt the secret message than the standard cat mapping. Experiments show the histogram of the encrypted image will be flat and resembles the white noise's histogram, which significantly enhances the security of the algorithm.