Spam Filter Analysis
Spam Filter Analysis
复制标题
垃圾邮件过滤分析
DOI：
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复制
发表时间：
2004
期刊：
影响因子：
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通讯作者：
J. Nieuwenhuizen
中科院分区：
文献类型：
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作者：
Flavio D. Garcia;J. Hoepman;J. Nieuwenhuizen
Unsolicited bulk email (aka. spam) is a major problem on the Internet. To counter spam, several techniques, ranging from spam filters to mail protocol extensions like hashcash, have been proposed. In this paper we investigate the effectiveness of several spam filtering techniques and technologies. Our analysis was performed by simulating email traffic under different conditions. We show that genetic algorithm based spam filters perform best at server level and naive Bayesian filters are the most appropriate for filtering at user level.
