垃圾邮件过滤技术及发展  

Spam-filtering techniques and development

作　　者：肖明[1] 殷锋[1] 张楠[1] 

机构地区：[1]西南民族大学计算机科学与技术学院,成都610041

出　　处：《西南民族大学学报（自然科学版）》2007年第1期207-212,共6页Journal of Southwest Minzu University(Natural Science Edition)

摘　　要：Internet的迅速发展,使电子邮件应用十分广泛,但垃圾邮件也泛滥成灾.本文介绍了基于安全认证、规则匹配和统计学习三类邮件过滤技术及应用情况,并对简单贝叶斯和支持向量机技术的原理应用于邮件过滤进行了阐述.最后分析了过滤技术面临的挑战并指出垃圾邮件过滤的发展趋势.With the rapid development of Internet,Email has been widely applied,but spam is widele spreaded.In this paper,we introduce three spam filtering techniques,such as based on security authentication,rule matching and statistics learning.Then we illustrate the theory and application of naivebayes,and support vector machines to filter spam.Finally we analyze the challenge and the trend of spam filtering techniques.

关 键 词：电子邮件 垃圾邮件 简单贝叶斯 支持向量机 

分 类 号：TP393.098[自动化与计算机技术—计算机应用技术]