基于BHO技术的网页安全检测系统的研究  

Research of web security detection system based on BHO

作　　者：仇永泉[1] 林果园[1] 陈伟[1] 

机构地区：[1]中国矿业大学计算机科学与技术学院,江苏徐州221116

出　　处：《计算机工程与设计》2012年第7期2530-2535,共6页Computer Engineering and Design

基　　金：国家自然科学基金项目(51104157);教育部博士学科点专项科研基金项目(20110095120008)

摘　　要：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。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.

关 键 词：浏览器帮助对象 IE浏览器 网页安全 异常检测 关联规则 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]