文章基本信息

标题：A Composite Intelligent Method for Spam Filtering
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作者：Jun Liu ; Shuyu Chen ; Kai Liu 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2014
卷号：8
期号：4
页码：67-76
DOI：10.14257/ijsia.2014.8.4.07
出版社：SERSC
摘要：This paper analyses several common algorithms for spam filtering and shows the advantages and disadvantages of these algorithms for spam filtering. Each algorithm is only suitable for filtering specific spam. Some algorithms are suitable for Chinese, and some algorithms perform well in English. In a lot of spam, it is not reliable and inefficiency to using a single algorithm to separate out spam. Thereby, in order to improve the accuracy and efficiency of spam filtering, composite intelligent algorithm, which integrates and improves the existing algorithms by utilizing the advantages of previous algorithms and avoiding their shortages, is proposed. Moreover, an intelligent method that it has the ability of self-learning by using the contents of the e-mails is introduced. Finally, the outcome of experiment shows that the intelligent method achieves a better efficiency and performance.
关键词：spam filtering; blacklisting; Rules; Bayes