The Design of an Active VoIP Security Defense Model Based on Dynamic Self-Adaptive Diffluence

This paper designs an active Voice over Internet Protocol (VoIP) security defense model, aiming to cope with various attack problems that the network is confronting. Based on the model, a dynamic self-adaptive diffluence algorithm that can be applied to the VoIP Gateway was proposed. It combines advantages of UBS selection strategy and weighted Bayesian classification algorithm, the algorithm can accurately, quickly complete the task of intrusion detection through using few high-quality training sample for learning. Experimental results demonstrate the algorithm is more accurate under the smaller training set.