A SPIT Detection Method Based on Conversation Pattern
Yang Yi-xian · Beijing Youdian Xueyuan xuebao · 2011
Based on the existing solution for spam over Internet telephony(SPIT) detection,a method using human conversational model to describe the call pattern of human telephone call is proposed.A conversational pattern state sequence is generated through the conversational model from a call.Via using Bayesian probability model,the possibility that the call is malicious is calculated.The possibility can be used to detect the spam phone calls generated by robot,and can be applied in our perimeter defense system.Experiments on the border defense system indicate that the false negative rate of detection is less 10% while the false positive rate remains low at about 2%.It demonstrates that conversation pattern can be used as a feature to detect behavior of SPIT as the other features.