一种基于最大熵模型的实时垃圾邮件判定及阻断技术研究
Research on ME-Based Spam Identification and Real-Time Spam Blocking
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摘要: 垃圾邮件过滤是网络安全领域的重大研究课题和难题.本文针对传统技术的不足,使用机器学习领域经典的最大熵模型对垃圾邮件进行判定,并结合其采用针对SMTP邮件通信协议的实时阻断技术.实验结果表明,该技术简单有效,并适合实时在线处理.Abstract: Spam filtering is a classic research topic in network security.This paper proposes a new mechanism, which based on the maximum entropy model for spam identification and can finish real-time blocking method in terms of the characteristics of SMTP.Experimental results demonstrate it is effective for spam identification and real-time blocking.
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