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网页信息隐藏能够在网页中嵌入秘密信息,让第三方浏览网页时觉察不到秘密信息的存在.最近已经有多种实用的工具可以方便地在网页中隐藏信息,尤其对于普遍使用的基于属性顺序的网页信息隐藏技术,目前还没有相应的检测方案.本文提出了一种有效的检测方案来解决这个问题.为了检测网页中是否隐藏了秘密信息,该方法建立了均值距离和方差这两个统计量,然后利用SVM分类技术来区分正常网页和嵌入秘密信息的网页.实验结果表明该方法能够以高达90%的检测率来有效地判断一个网页是否包含了隐秘信息.
Webpage information hiding can embed secret information in the webpage so that the third party can not perceive the existence of the secret information when browsing the webpage.A variety of practical tools are available to hide the information in the webpage conveniently recently, especially for the commonly used attribute-based Of the webpage information hiding technology, there is no corresponding detection scheme.This paper proposes an effective detection scheme to solve this problem.In order to detect whether the webpage is hidden secret information, the method establishes two statistics of mean distance and variance And then use SVM classification technology to distinguish between normal web pages and web pages embedded with secret information.The experimental results show that this method can effectively determine whether a web page contains secret information with a detection rate of up to 90%.