Robustness of Stego-Images against Histogram Attack based on Genetic Algorithm

摘要：

Steganalytic techniques are used to detect whether an image contains a hidden message. By analyzing different image features between stego-images (the image within which information is hidden) and cover-images (the image in which information is to be hidden), a steganalytic system is able to detect stego-images. In this paper, we present a new method in LSB embedding by avoiding the change of statistic features. After embedding data in the first LSB bits, we apply genetic algorithm by adjusting the second LSB bits of a stego-image while creating the desired statistic features to generate the modified stegoimages that can break the inspection of steganalytic systems. Experimental results show that our algorithm can not only pass the detection of chi-square test, but can also leave our hidden message unchanged on the first LSB bit, and enhances the peak signal-to-noise ratio of stego-images.

关键词： Steganalytic systems Stego-images Histogram attack Genetic algorithm

作者: M.Hamghalam M.R.Mosavi

作者单位: Department of Electrical Engineering, Iran University of Science and Technology Narmak, Tehran 16846-13114, Iran

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 682-685

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）