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.
Filtering Obfuscated Email Spam by means of Phonetic String Matching
FRESCHI, VALERIO;SERAGHITI, ANDREA;BOGLIOLO, ALESSANDRO
2006
Abstract
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.File in questo prodotto:
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