Hybrid spam filtering for mobile communication
Ji Won Yoon‚ Hyoungshick Kim and Jun Ho Huh
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.