Email Worm Detection Using Naïve Bayes and Support Vector Machine
Email Worm Detection Using Naïve Bayes and Support Vector Machine
复制标题
使用朴素贝叶斯和支持向量机检测电子邮件蠕虫
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
E. Al
中科院分区：
文献类型：
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作者：
M. Masud;L. Khan;E. Al
电子邮件蠕虫，顾名思义，通过受感染的电子邮件进行传播。该蠕虫可能通过附件携带，或者电子邮件可能包含指向受感染网站的链接。当用户打开附件或单击链接时，主机立即被感染。电子邮件蠕虫利用主机电子邮件软件的漏洞，将受感染的电子邮件发送到地址簿中存储的地址。这样一来，新的机器就会被感染。电子邮件蠕虫的例子有“[email protected]"、“W32.Zafi.d”、“W32.LoveGate.w”、“W32.Myfi.c”等。蠕虫对计算机和人造成很大的危害。它们会阻塞网络流量，对系统造成损坏，使系统不稳定甚至无法使用。
Email worm, as the name implies, spreads through infected email messages. The worm may be carried by attachment, or the email may contain links to an infected website. When the user opens the attachment, or clicks the link, the host is immediately infected. Email worms use the vulnerability of the email software of the host machine and sends infected emails to the addresses stored in the address book. In this way, new machines get infected. Examples of email worms are “[email protected]”, “W32.Zafi.d”, “W32.LoveGate.w”, “W32.Mytob.c”, and so on. Worms do a lot of harm to computers and people. They can clog the network traffic, cause damage to the system and make the system unstable or even unusable.