Research of web security detection system based on BHO
Wei Chen · Jisuanji gongcheng yu sheji · 2012
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.