Filtering obfuscated email spam by means of phonetic string matching

Authors:
Valerio Freschi;Andrea Seraghiti;Alessandro Bogliolo
Affiliations:
STI – University of Urbino, Urbino, Italy;STI – University of Urbino, Urbino, Italy;STI – University of Urbino, Urbino, Italy
Venue:
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Year:
2006

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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.