摘要
提出一种模型的信息隐藏检测方法,这种方法是对要分析的图像建立一个统计特征模型,而信息隐藏将改变该特征,那么将能检测到信息隐藏。对JSteg和QIM两种信息隐藏为例,通过对系数进行建模,估计出原始图像系数分布,然后将其与实际图像系数分布进行比较,可以很方便的检测出图像是否隐藏了信息,并且估计出隐藏的信息量。试验证明,该方法非常有效。
To consider a new method for performing steganalysis using a statistical model of the cover medium. Using model based methodology, examples of detecting secret message and estimating the secret message length of bit_streams embedded using JSteg_like steganography and quantization index modulation are proposed. This steganalysis technique is based on the model of statistical distribution of quantized DCT coefficients. The histogram of cover image and 'shrinkage histogram' are estimated from stego image using the statistical model. Then the secret message is detected and the secret message length is estimated. The methodology described in this paper is a framework which can also be applied to virtually any type of media such as JPEG2000 file format embedding.
出处
《中山大学学报（自然科学版）》
CAS
CSCD
北大核心
2004年第A02期184-187,191,共5页
Acta Scientiarum Naturalium Universitatis Sunyatseni
基金
国家863计划资助项目(2003AA144080)
国家自然科学基金资助项目(60172054
60121302
60335010)
