基于高阶统计的网页隐秘信息检测研究

On Steganalysis of Information in Tags of a Webpage Based on Higher-order Statistics

隐秘信息能隐藏在网页标记字母中,虽在浏览器浏览时无法发现其存在,但却不可避免地改变了标记的内在特征标记偏移量。基于此,该文提出一种新的网页隐秘信息检测算法。根据标记偏移量在隐藏信息前和隐藏信息后的变换规律,确立高阶统计特征来检测网页标记中是否有隐秘信息。实验随机下载了30个不同类型网站的主页测试,实验结果验证了统计特征的正确性。检测的漏检率随嵌入信息的增大而减小,当50%的标记字母被用来隐藏信息后,检测的漏检率为0%。

Secret message can be embedded into letters in tags of a webpage in ways that are imperceptible to human eye viewed with a browser. These messages, however, alter the inherent characteristic of the offset of a tag. This paper presents a new higher-order statistical steganalytic algorithm for detection of secret messages embedded in a webpage. The offset is used to build the higher-order statistical models to detect whether secret messages hide in tags. 30 homepages are randomly downloaded from different websites to test, and the results show the reliability and accuracy of statistical characteristics. The probability of missing secret messages decrease as the secret message increase, and it is zero, as 50% letters of tags are used to carry secret message.