Filtering Obfuscated Email Spam by means of Phonetic String Matching

Filtering Obfuscated Email Spam by means of Phonetic String Matching
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通过拼音字符串匹配过滤混淆的垃圾邮件

DOI:
10.1007/11735106_52
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发表时间:
2006
期刊:
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影响因子:
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通讯作者:
A. Bogliolo
A. Bogliolo
中科院分区:
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文献类型:
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作者:
Valerio Freschi;Andrea Seraghiti;A. Bogliolo

文献摘要

被引文献

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基于规则的电子邮件过滤器主要依靠关键词的出现来对垃圾邮件进行分类。然而,感知混淆技术可用于逃避精确的模式匹配。在本文中,我们提出了一种过滤混淆电子邮件垃圾邮件的新技术,该技术对原始消息及其语音转录执行近似模式匹配。
Rule-based email filters mainly rely on the occurrence of critical words to classify spam messages. However, perceptive obfuscation techniques can be used to elude exact pattern matching. In this paper we propose a new technique for filtering obfuscated email spam that performs approximate pattern matching both on the original message and on its phonetic transcription.