Steganalysis of Information Hidden in Webpage Based on Higher-order Statistics

Abstract

Secret messages can be embedded into letters in tags of a Webpage in ways that are imperceptible to the 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.