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传统的基于病毒特征的网页检测方法已不能适应现在病毒产生快和变形多的特点,针对这个问题,本文提出基于Pag-eRank和系统调用的网页安全检测模型.该模型首先使用PageRank对网页进行快速分类,然后通过自动分析安全网页的系统调用参数来建立系统调用的正常访问模式,以此来检测可疑网页中病毒入侵的异常访问行为.最后实现了系统原型并进行性能测试,实验结果表明:本模型对典型恶意网页的检测率达到79.5%,效果理想,尤其在对新出现的网页病毒进行检测时明显优于传统方法.
In order to solve this problem, this paper proposes a webpage security detection model based on Pag-eRank and system call.This model first uses PageRank to fast-track the webpage Classification, and then through the automatic analysis of the security webpage system call parameters to establish the system call normal access mode, in order to detect suspicious web pages in the virus invasion of abnormal access behavior.Finally, the system prototype and performance testing, the experimental results show that: The detection rate of typical malicious pages is up to 79.5%. The results are very good, especially in the detection of emerging web viruses.