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	Steganalysis of LSB replacement for multivariate Gaussian covers
	Xue, Bowen ; Li, Xiaolong ; Li, Bin ; Guo, Zongming
	2015
英文摘要	Recently, some statistically optimal steganalyzers are proposed based on hypothesis testing theory, in which the cover pixels are supposed to be independent. However, the independent assumption is of limited interest since redundancy exists in natural images. In this paper, using a more appropriate image model considering pixel correlation, a new steganaly-sis method for the least significant bit replacement (LSB-R) steganography is proposed. First, the cover image is divided into non-overlapping equal-sized blocks and each block is modeled by a multivariate Gaussian distribution. Then, based on likelihood ratio test and formula derivation, a new detector of LSB-R is derived. The proposed detector is an extension of some previous works with improved detection performance. ? 2015 IEEE.; EI; 836-840
语种	英语
出处	IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015
DOI标识	10.1109/ChinaSIP.2015.7230522
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436696]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Xue, Bowen,Li, Xiaolong,Li, Bin,et al. Steganalysis of LSB replacement for multivariate Gaussian covers. 2015-01-01.

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