Lossless compression-based steganalysis of LSB embedded images

被引：1

作者：

Boncelet, Charles ^{[1
]}

Marvel, Lisa ^{[2
]}

机构：

[1] Univ Delaware, Newark, DE 19716 USA

[2] US Army, Ballist Res Lab, Aberdeen Proving Ground, MD 21005 USA

来源：

2007 41ST ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS, VOLS 1 AND 2 | 2007年

关键词：

D O I：

10.1109/CISS.2007.4298442

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new method of steganalysis for images with embedded messages is presented. We consider two embedding methods: least significant bit (LSB) replacement and +/- 1 LSB embedding. Our method uses lossless image compression to generate statistics that are fed into a support vector machine classifier. We compare results against the pairs method, one of the best existing LSB steganalysis methods. Both our method and pairs performs well for LSB replacement. However, while pairs cannot detect +/- 1 LSB embedding at all, our method can.

引用

页码：923 / 923

页数：1

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