A NOVEL IMAGE STEGANOGRAPHY ALGORITHM AGAINST STATISTICAL ANALYSIS

摘要：

The least-significant bit (LSB) insertion method is the most common and easiest method for embedding messages in an image with high capacity, while it is detectable by statistical analysis such as RS and Chi square analyses.This paper has proposed a novel LSB image steganography algorithm that can effectively resist image steganalysis based on statistical analysis.We combine every two samples LSB bits using addition modulo 2 (or m) to form the value which is compared to the part of the secret message.If these two values are equal, no change is made.Otherwise, add the difference of these two values to the second sample.Thus, we can embed the part of the secret message effectively.RS and Chi-square analyses are performed on stego-medium created using the steganography technique.The experiment shows that the scheme has the same insertion capacity and SNR as the classic LSB steganography and the proposed method can effectively resist steganalysis based on RS and Chi-square analyses.

关键词： Information hiding Image steganography Image steganalyis LSB

作者: HONG-JUAN ZHANG HONG-JUN TANG

作者单位: Institute of Intelligence and Software Technology, Hangzhou Dianzi University, Hangzhou 310018, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3884-3888

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）