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基于免疫网络聚类算法的特征垃圾邮件获取技术
引用本文:岳训,迟忠先,莫宏伟,郝艳友.基于免疫网络聚类算法的特征垃圾邮件获取技术[J].计算机工程与应用,2005,41(35):12-14.
作者姓名:岳训  迟忠先  莫宏伟  郝艳友
作者单位:1. 大连理工大学计算机科学工程系,大连,116024;山东农业大学信息科学与工程学院,泰安,271018
2. 大连理工大学计算机科学工程系,大连,116024
3. 哈尔滨工程大学自动化学院,哈尔滨,150001
基金项目:国家自然科学基金资助(编号:60305007)
摘    要:文章给出了一种基于免疫网络聚类算法的邮件服务器端特征垃圾邮件获取技术,其功能是将属同一邮件服务器内的邮件用户各自认可的垃圾邮件进行自动汇总,抽取出共性的垃圾邮件,从而能在邮件服务器端对这些共性垃圾邮件进行拦截,该技术体现出高效的动态性质,可作为目前主流反垃圾技术的辅助技术。

关 键 词:人工免疫网络  聚类  垃圾邮件
文章编号:1002-8331-(2005)35-0012-03
收稿时间:2005-09
修稿时间:2005-09

A Spam Acquirement Technology Based on Immune-Inspired Clustering Algorithm
Yue Xun,Chi Zhongxian,Mo Hongwei,Hao Yanyou.A Spam Acquirement Technology Based on Immune-Inspired Clustering Algorithm[J].Computer Engineering and Applications,2005,41(35):12-14.
Authors:Yue Xun  Chi Zhongxian  Mo Hongwei  Hao Yanyou
Abstract:The paper describes a novel Spam behavior acquirement technology at email service based on an immune-inspired clustering algorithm,new approach is capable of continuously delivering the most relevant Spam from the collection of all Spam that is reported by members of the network,mail servers will implement anti-Spam technology by using the "Black lists" that have been recognized.The conclusion has shown the technology is reliable,efficient and scalable,because no single technology can achieve one hundred percent Spam detection with zero false positives,it should be used in conjunction with other filtering systems to minimize errors.
Keywords:Artificial Immune Network  clustering algorithm  Spam
本文献已被 CNKI 维普 万方数据 等数据库收录!
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