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21世纪是信息技术高速发展的时代。如今的各种信息交流的主要平台是网络。由于网络资源是共享的,因此网络的攻击者也能利用现有的网络资源来攻击现在互联网络。攻击者对网络的攻击有多种手段,利用网页挂马技术向网络用户的系统中种植木马的现象在如今的网络中是普遍的现象。木马是一种恶意代码,因此网页挂马技术对互联网的危害性是巨大的。因此论文在查阅有关网页挂马技术的文献之间后,结合机器学习技术中的分类算法——决策树算法提出了一种检测网页中是否藏有木马域名的算法。论文前部分介绍了网页挂马的技术和决策树的概念和技术,后部分给出了决策树检测木马的图标和检测网页中是否藏有木马域名的算法。
The 21st century is an era of rapid development of information technology. The main platform for the exchange of information today is the Internet. As network resources are shared, network attackers can also use existing network resources to attack the current Internet. Attacks on the network there are many means of attack, the use of web-hung horse technology to the network user’s system of Trojan horse planting phenomenon in today’s network is a common phenomenon. Trojans are a malicious code, so web-hung horse technology on the dangers of the Internet is enormous. Therefore, after consulting the literature on webpage hanging technology, the paper proposes an algorithm to detect whether the webpage contains a Trojan domain name, combined with the classification algorithm in machine learning technology - decision tree algorithm. The first part of the dissertation introduces the concept and technology of web-linked horse technology and decision tree, and the latter part gives the algorithm of detecting the Trojan horse with the decision tree and detecting whether the web page contains the Trojan domain name.