Abstract
Spam messages are an increasing threat to mobile communication. Several mitigation techniques have been proposed, including white and black listing, 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.
Original language | English |
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Pages (from-to) | 446-459 |
Number of pages | 14 |
Journal | Computers and Security |
Volume | 29 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2010 Jun |
Externally published | Yes |
Keywords
- Challenge-response
- Content-based filtering
- Hybrid
- Spam SMS messages
- Threshold sensitivity problem
ASJC Scopus subject areas
- General Computer Science
- Law