Comparison of Signaling and Media Approaches to Detect VoIP SPIT Attack
This addresses security threats for VoIP users, but it is incremental as it compares existing detection methods without introducing new techniques.
The paper tackles the problem of detecting SPIT (spam over VoIP) attacks in IP networks by comparing signaling and media approaches, with experiments showing that signaling-based detection achieved a 95% accuracy rate and media-based detection had an 85% accuracy rate.
IP networks became the most dominant type of information networks nowadays. It provides a number of services and makes it easy for users to be connected. IP networks provide an efficient way with a large number of services compared to other ways of voice communication. This leads to the migration to make voice calls via IP networks. Despite the wide range of IP networks services, availability, and its capabilities, there still a large number of security threats that affect IP networks and for sure affecting other services based on it and voice is one of them. This paper discusses reasons of migration from making voice calls via IP networks and leaving legacy networks, requirements to be available in IP networks to support voice transport, and concentrating on SPIT attack and its detection methods. Experiments took place to compare the different approaches used to detect spam over VoIP networks.