基于贝叶斯算法的网页木马检测技术研究  

Research of Web Trojan Detect Technology Based on Bayesian Algorithm

作　　者：张尚韬[1] Zhang Shangtao(The Internet of Things and Artificial Intelligence College,Fujian Polytechnic of Information Technology,Fuzhou,Fujian 350003,China)

机构地区：[1]福建信息职业技术学院物联网与人工智能学院,福建福州350003

出　　处：《伊犁师范大学学报（自然科学版）》2023年第2期55-63,共9页Journal of Yili Normal University：Natural Science Edition

基　　金：福建省中青年教师教育科研项目(JAT210737)。

摘　　要：网页木马已成为互联网最大的安全威胁.在研究网页木马行为特征、木马监控技术的基础上,利用网页木马与正常网页的区别,提出了将链接分析技术应用于网页木马检测的方法,将朴素贝叶斯分类算法应用于网页木马的检测,给出了基于贝叶斯算法的网页木马检测系统模型的设计方案,包括管理模块、网页代码分析模块、网页木马进程创建监控模块,以及网页木马行为监视等模块的实现方法.通过实验测试,验证了所设计的检测模型的有效性.Web trojan has become the biggest security threat to the Internet.On the basis of studying the behavior characteristics of web trojans and trojan horse monitoring technology,this paper uses the difference between web trojans and normal web pages to propose a method of applying link analysis technology to the detection of web trojans,applies naive Bayesian classification algorithm to the detection of web trojans,and gives a design scheme of web trojan horse detection system model based on Bayesian algorithm,including management module,web page code analysis module The implementation method of the monitoring module of web trojan process creation and the monitoring module of web trojan behavior.Through experimental testing,the validity of the detection model is verified.

关 键 词：网页木马 朴素贝叶斯分类算法 监控 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]