Hybrid spam filtering for mobile communication

Ji Won Yoon, Hyoungshick Kim, Jun Ho Huh

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)


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 languageEnglish
Pages (from-to)446-459
Number of pages14
JournalComputers and Security
Issue number4
Publication statusPublished - 2010 Jun
Externally publishedYes


  • Challenge-response
  • Content-based filtering
  • Hybrid
  • Spam SMS messages
  • Threshold sensitivity problem

ASJC Scopus subject areas

  • General Computer Science
  • Law


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