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垃圾邮件过滤研究与实现
引用本文:黄涛,谢嵘. 垃圾邮件过滤研究与实现[J]. 山东大学学报(理学版), 2007, 42(9): 80-83
作者姓名:黄涛  谢嵘
作者单位:肇庆学院,软件学院,广东,肇庆,526061;华南理工大学,计算机科学与工程学院,广东,广州,510640
基金项目:肇庆学院校科研和教改项目;肇庆学院校科研和教改项目;肇庆市科技资助项目
摘    要:系统以垃圾邮件过滤为目标,设计并实现了一个垃圾邮件过滤系统SpamBlocker.该系统整合规则过滤、贝叶斯分类、病毒检测和黑/白名单等垃圾邮件检测技术,采用评分方法判断邮件的垃圾性,并利用规则过滤给贝叶斯分类提供学习样本,提高了系统对新垃圾邮件的适应性.

关 键 词:垃圾邮件  规则过滤  贝叶斯分类
文章编号:1671-9352(2007)09-0080-04
修稿时间:2007-06-12

SPAM filtering and its realization
HUANG Tao,XIE Rong. SPAM filtering and its realization[J]. Journal of Shandong University, 2007, 42(9): 80-83
Authors:HUANG Tao  XIE Rong
Affiliation:1. Computer Science Department, Zhaoqing University, Zhaoqing 526061, Guangdong;2. South China University of Technology, School of Computer Science & Engineering, Guangzhou 510640
Abstract:Aiming to concentrate on SPAM filtering, a filter system against spare named SpamBlocker was designed and implemented. This system integrates inspection technology for filtering spam such as rules-filtering, Bayes classification, virus scanning and black/white list. Furthermore, it adopts the rules of scoring to determine which mail is spare and to provide Bayes classification with samples for improvement by the filtering rules. As a result, it improves the system adaptation of faltering the emerging SPAM.
Keywords:SPAM   filtering rule   Bayes classification
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