基于BHO技术的网页安全检测系统的研究

针对日益严峻的网页安全现状和传统的网页检测系统不能满足现代网络的安全需求的情况,在详细介绍了微软浏览器帮助对象(browser help objects,BHO)技术的工作原理的基础上,提出了一个具有自主学习能力的网页安全检测系统模型.该系统通过微软BHO技术开发的插件采集网页的行为模式数据,进而通过类关联规则建立起网页访问分类器,最终实现对访问网页的安全检测与实时监控.实验结果表明,该系统可以有效地辨别恶意网页.

Research of web security detection system based on BHO

The problem of network security is increasing year after year and the traditional web detection system can not meet the security needs of the modern network.For this reason,a webpage Security detection system model with the ability of self-learning is presented.The system collects webpage behavior patterns by the BHO plug-in,which are based on the Microsoft BHO technology.The system will build a webpage access classifier by the class association rules.Finally it will detect the visi-ting webpage and real-time web monitoring.The experimental results show that the system can effectively distinguish malicious web pages.