计算机科学 ›› 2012, Vol. 39 ›› Issue (11): 86-89.
• 计算机网络与信息安全 • 上一篇 下一篇
秦逸
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摘要: 电子邮件作为一种重要的信息交互手段,引发了诸如垃圾邮件、恶意邮件、隐私泄露等一系列严重的问题。 垃圾邮件检测是近年来出现的一个研究领域,其目的在于判定一封邮件是否为垃圾邮件。提出了一种基于邮件行为 的垃圾邮件检测技术I3JMD,介绍了邮件行为检测的主要思想和算法过程。通过在实际邮件集上的实验和分析,给出 了新方法的一些性能评判。
关键词: 垃圾邮件,行为模型,邮件检测,数据挖掘,电子邮件
Abstract: As an important information exchange tool, emails contribute to serious problems such as spam-mails, mali- cious mails and private information leaks. Junk mail detection is a recently emerging filed,which aims to provide a effi- cicnt monitoring means on deciding whether a mail is a junk mail. We provided a behavior-based method of junk mail de- tection. We showed the behavior models used in our method and gave a introduction of the algorithm processes. We im- plemented our method on a real mail set and gave some comparisons with content based junk mail detection to get some experiences in mining mail information.
Key words: Junk mail,I3ehavior model,Mai1 detection,Data mining,Email
秦逸. 基于行为的垃圾邮件检测技术[J]. 计算机科学, 2012, 39(11): 86-89. https://doi.org/
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