基于贝叶斯过滤算法的反垃圾邮件策略  

Strategy of Anti-Spam Based on Bayesian Filtering Algorithm

作　　者：李闻天[1] 

机构地区：[1]昆明理工大学信息与网络中心,云南昆明650093

出　　处：《昆明理工大学学报（理工版）》2005年第3期68-71,共4页Journal of Kunming University of Science and Technology(Natural Science Edition)

摘　　要：结合传统贝叶斯算法的数学定理,给出了朴素贝叶斯过滤算法以及该算法在反垃圾邮件中的六个处理步骤,算法通过渐进学习的方式分别建立三个哈希表,并预置相应的阀值来判定收到的邮件是否为垃圾邮件.以实例方式说明了此算法为基础的反垃圾邮件策略,最后指出了朴素贝叶斯算法存在的问题及可能改进的方向,对防范和处理垃圾邮件提供理论依据和实践参考.Based on the traditional Bayesian theory, Naive Bayesian filtering algorithm and its six processing steps in anti-spam are presented. The algorithm creates three Hash Tables respectively by gradual study of mails, and presets threshold accordingly to determine whether a mail received is spam or not. Examples are given to prove this algorithm is a basic strategy to anti-spam. Finally, problems and future improvement of Naive Bayesian filtering algorithm are pointed out, which provides theoretical basis and practical reference to keep away and deal with spam.

关 键 词：贝叶斯定理 朴素贝叶斯算法 反垃圾邮件 哈希表 网络管理 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]