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In this paper, the authors present an approach for detection of spam calls over IP telephony called SPIT in Voice-over-IP (VoIP) systems. SPIT detection is different from spam detection in email in that the process has to be soft real-time, fewer features are available for examination due to the difficulty of mining voice traffic at runtime, and similarity in signaling traffic between legitimate and malicious callers. The approach differs from existing work in its adaptability to new environments without the need for laborious and error-prone manual parameter configuration. They use clustering based on the call parameters leveraging optional user feedback for some calls, which they mark as SPIT or non-SPIT.
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