基于免疫网络聚类算法的特征垃圾邮件获取技术  

A Spam Acquirement Technology Based on Immune-Inspired Clustering Algorithm

作　　者：岳训[1] 迟忠先[1] 莫宏伟[2] 郝艳友[1] 

机构地区：[1]大连理工大学计算机科学工程系 [2]哈尔滨工程大学自动化学院,哈尔滨150001

出　　处：《计算机工程与应用》2005年第35期12-14,共3页Computer Engineering and Applications

基　　金：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。The paper describes a novel Spam behavior acquirement technology at email service based on an immuneinspired 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.

关 键 词：人工免疫网络 聚类 垃圾邮件 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]