基于LD算法的网页篡改可视化预警系统的研究

Research on Visual Early Warning System of Webpage Tampering Based on LD Algorithm

文章对网页篡改现状进行了调查,对新闻、博客、大学网页被篡改方式进行了研究,并基于LD算法、Python爬虫,研究出可以有效对网页添加暗链、添加恶意代码、篡改网页文本等网页篡改行为进行可视化预警的系统,搭建了可视化动态网页,可以及时呈现网页篡改的位置和网页篡改周期和频率,并通过网页源码关联数据库,有效保证了网页的可恢复性。

This paper investigates the current situation of webpage tampering,and studies the ways of news,blog and university webpage tampering.Based on LD algorithm and Python crawler,a visual early warning system is developed,which can effectively alert webpage tampering behaviors such as adding dark chain,adding malicious code and tampering with webpage text,and builds a visual dynamic webpage,which can timely present the location,period and frequency of webpage tampering,and effectively ensure the recoverability of webpage by associating webpage source code with database.