Improved artificial immune algorithm applied for spam filtering

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (30): 72-74.

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Improved artificial immune algorithm applied for spam filtering

HUANG Jue1，CHEN Bing2，LIAO Changwu1

1.Department of Computer and Software，Nanjing Institute of Industry Technology，Nanjing 210046，China
2.Department of Information Science and Technology，Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-10-21 Published:2011-10-21

改进的人工免疫垃圾邮件过滤算法

黄珏1，陈兵2，廖常武1

1.南京工业职业技术学院计算机与软件学院，南京 210046
2.南京航空航天大学信息科学与技术学院，南京 210016

Abstract

Abstract: AISEC model is not so effective in generation of self library and gene library.It improves the efficiency of self library and gene library generation by adding MI and the frequency of words，and improves the auto-update strategy of self library and gene library.Experiments show that the improved algorithm can reduce at least 10% of the time，and can reduce the fallout rate.

Key words: artificial immune, spam, self library, gene library

摘要： 针对AISEC模型中自体库和基因库生成效率不高的弊端，提出基于词频和MI互信息的自体库和基因库生成算法，同时对自体库和基因库的更新策略进行改进。实验结果表明，应用改进后的算法至少可以将邮件分类时间缩短10%，同时在虚报率方面得到了明显改善。

关键词: 人工免疫, 垃圾邮件, 自体库, 基因库

HUANG Jue1，CHEN Bing2，LIAO Changwu1. Improved artificial immune algorithm applied for spam filtering[J]. Computer Engineering and Applications, 2011, 47(30): 72-74.

黄珏1，陈兵2，廖常武1. 改进的人工免疫垃圾邮件过滤算法[J]. 计算机工程与应用, 2011, 47(30): 72-74.

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Improved artificial immune algorithm applied for spam filtering

改进的人工免疫垃圾邮件过滤算法

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