基于ASP的反垃圾邮件管理系统的设计论文

摘  要

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随着Internet的迅速普及,电子邮件以其快捷､方便､低成本的特点逐渐成为人们进行信息交流的主要媒介之一,但是随之而来的垃圾邮件也越来越泛滥｡垃圾邮件占用了有限的存储､计算和网络资源,耗费了用户大量的处理时间,影响和干扰了用户的正常工作､生活和学习｡如何有效地治理垃圾邮件是全世界共同面临的一道难题,也是互连网上目前有待解决的问题｡本文首先介绍了电子邮件对人们日常生活的重要性,然后概要介绍了反垃圾邮件技术的发展历史｡研究了三种过滤垃圾邮件的方法,分别是黑白名单技术､主题关键字过滤技术和贝叶斯策略,对这三种技术的设计方法做了说明,重点介绍了贝叶斯过滤技术的设计原理和实现步骤｡最后总结了这几种过滤技术的不足之处和设计中遇到的难点问题｡ [资料来源：http://THINK58.com]

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关键词:电子邮件;垃圾邮件;黑白名单;主题关键字;贝叶斯 [资料来源：http://think58.com]

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Abstract

With the rapid development of internet, the technology of email is used widely in people's daily life. However, the occurrence of more and more spam emails is annoying to user, which causes the great waste of user's time, money as well as network bandwidth. And what's worst, it can be harmful to users. It affects and interferes with the user's normal work, life and studying. How to deal with spam emails effectively, that is a common difficult problem for all over the world. In the current Internet it is a problem for waiting for us to resolve. At first this paper introduces the e-mail's importance for people's daily life. Then it introduces simply development history of the anti-spam technology and researches three of spam filtering methods, they are black and white list technology, subject keyword filtering technology and bayesian strategy. Then the designing methods of three kinds of technology are introduced. Focusing on the bayesian filtering technology, this paper introduces its designing principle and implementation's steps. Finally I sums up some shortcomings of several kinds of filtering technology and some difficult problems in designing.

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Key words: email; spam email; black and white list; subject keyword; bayesian [版权所有：http://think58.com]