Volume 4 Number 7 (Jul. 2009)
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JCP 2009 Vol.4(7): 646-653 ISSN: 1796-203X
doi: 10.4304/jcp.4.7.646-653

Detection of LSB Matching Steganography using the Envelope of Histogram

Jun Zhang1, Yuping Hu2, Zhibin Yuan2
1School of Information Science Guangdong University of Business Studies ,Guangzhou ,P.R. China
2Department of Software Enginerring Guangdong University of Business Studies ,Guangzhou ,P.R. China


Abstract—As well-known, it is hard to detect LSB matching steganography when cover images are scans of photographs, which usually have high-frequency noise. This paper proposes a novel steganalysis method for this issue by making use of the following two facts: One is the local maxima of an image histogram decrease and the local minima increase after LSB matching steganography. As a result, the area between upper envelope and lower envelope of the histogram of a stego image will be smaller than that of a cover image. The other is LSB matching embedding in the spatial domain of an image corresponds to low-pass filtering of the histogram. So, there are some differences in the high order statistical moments of high frequencies of the histogram. Based on these facts, this paper constructs a novel feature vector to distinguish between stego and cover images. Experimental results show the proposed scheme has better performance than some state-of-the-art steganalyzers in the literature.

Index Terms—Steganalysis, LSB matching, Image.

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Cite: Jun Zhang, Yuping Hu, Zhibin Yuan, "Detection of LSB Matching Steganography using the Envelope of Histogram," Journal of Computers vol. 4, no. 7, pp. 646-653, 2009.

General Information

ISSN: 1796-203X
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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