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Hybrid spam filtering for mobile communication

Abstract:
Spam messages are an increasing threat to mobile communication. Several mitigation techniques have been proposed, including whitelisting, blacklisting, challenge-response and content-based filtering. However, none are perfect and it makes sense to use a combination rather than just one. We propose an anti-spam framework based on the hybrid of content-based filtering and challenge-response. A message, that has been classified as uncertain through content-based filtering, is checked further by sending a challenge to the message sender. An automated spam generator is unlikely to send back a correct response, in which case, the message is classified as spam. Our simulation results show the trade-off between the accuracy of anti-spam classifiers and the incurring traffic overhead, and demonstrate that our hybrid framework is capable of achieving high accuracy regardless of the content-based filtering algorithm being used.

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Publisher copy:
10.1016/j.cose.2009.11.003

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Journal:
Computers and Security More from this journal
Volume:
29(4)
Pages:
446-459
Publication date:
2010-06-01
DOI:


UUID:
uuid:bfdaccbb-8a58-4c6c-bcb4-18638fd72759
Local pid:
cs:3933
Deposit date:
2015-03-31
ARK identifier:

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