A SPIT Detection Method Using Voice Activity Analysis

Spam over IP telephony (SPIT) is becoming a large problem with the rise of VoIP. A new SPIT detection method using voice activity analysis is proposed in this paper. The calling and called voice saturation ratio and the called conflict ratio is used as the parameters of the call-behavioral characteristics after an analysis of the difference in call behavior between spam voices and the normal calls. And the parameters of the call-behavioral characteristics are obtained by analyzing voice activity status of the calling and called. Finally, by using support vector machine a spam classifier is designed and the experiment result shows the method can effectively recognize spam call.