东华大学学报（英文版）2007，Vol.24Issue(1)：85-89,5.
Universal Steganalysis of Data Hiding in Grayscale Images
Universal Steganalysis of Data Hiding in Grayscale Images
摘要
Abstract
This paper proposed an universal steganalysis program based on quantification attack which can detect several kinds of data hiding algorithms for grayscale images. In practice, most techniques produce stego images that are perceptually identical to the cover images but exhibit statistical irregularities that distinguish them from cover images. Attacking the suspicious images using the quantization method, we can obtain statistically different from embedded-and-quantization attacked images and from quantization attacked-but-not-embedded sources. We have developed a technique based on one-class SVM for discriminating between cover-images and stego-images. Simulation results show our approach is able to distinguish between cover and stego images with reasonable accuracy.关键词
steganalysis/data hiding/quantification attack/one-class SVMKey words
steganalysis/data hiding/quantification attack/one-class SVM分类
信息技术与安全科学引用本文复制引用
HUANG Ji-feng,LIN Jia-jun..Universal Steganalysis of Data Hiding in Grayscale Images[J].东华大学学报（英文版）,2007,24(1):85-89,5.基金项目
Science Fund of Shanghai Municipal Education Commission (03DZ13) （03DZ13）
