Attack Detection In Voip Networks Using Bayesian Multiple Change-Point Models
2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU)(2016)
摘要
One of the most commonly used network protocols in Internet telephony services is SIP. As the popularity of the protocol increases, SIP networks have become targets of DDoS attacks more frequently. In this work, we propose a Bayesian change point model to detect anomalies due to such attacks. The model monitors the network and alarms when a change in the network traffic occurs. We test the model with a data set generated by network traffic and attack simulators.
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关键词
SIP Networks,Network Intrusion Detection,Multiple Change-Point Model
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