A Novel Steganalysis of Data Hiding in Binary Text Images
Through massive experiments we found that for the binary text image embedding algorithm which hiding information by flipping central pixels of the image block, the statistics of run length between cover image and the image after been embedded is different obviously, but which between stego image and the image after test embedding is similar. Based on this law, a novel technique for the steganalysis of binary text image is presented in this paper. In which a test message is embedded in the text image firstly, then the run length statistic difference between text image and the image after embedded is calculated. When the difference exceeds the threshold value, the image is a cover image, otherwise it’s a stego image. Through the classification experiment, the threshold of several typical characters had identified and the experimental results showed that the detection rate can reach 99.9％ by using of the proposed method and the related threshold.
Steganalysis Run-length Statistic Binary text image
MENG Yan-yan GAO Bao-jian Qiang Yuan Yu Fu-gen Wang Cui-fang
College of Communication Science,Northwest University Xian,China
国际会议
广州
英文
2008-11-19（万方平台首次上网日期，不代表论文的发表时间）