Steganalysis using higher-order image statistics

被引：221

作者：

Lyu, Siwei ^{[1
]}

Farid, Hany ^{[1
]}

机构：

[1] Dartmouth Coll, Dept Comp Sci, Hanover, NH 03755 USA

来源：

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | 2006年 / 1卷 / 01期

基金：

美国国家科学基金会;

关键词：

image classification; image statistics; information hiding;

D O I：

10.1109/TIFS.2005.863485

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Techniques for information hiding (steganography) are becoming increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages is also becoming considerably more difficult. We describe a universal approach to steganalysis for detecting the presence of hidden messages embedded within digital images. We show that, within multiscale, multiorientation image decompositions (e.g., wavelets), first- and higher-order magnitude and phase statistics are relatively consistent across a broad range of images, but are disturbed by the presence of embedded hidden messages. We show the efficacy of our approach on a large collection of images, and on eight different steganographic embedding algorithms.

引用

页码：111 / 119

页数：9

共 31 条

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