A Bayesian change point model for detecting SIP-based DDoS attacks.
Digital Signal Processing(2018)
摘要
Session Initiation Protocol (SIP), as one the most common signaling mechanism for Voice Over Internet Protocol (VoIP) applications, is a popular target for the flooding-based Distributed Denial of Service (DDoS) attacks. In this paper, we propose a DDoS attack detection framework based on the Bayesian multiple change model, which can detect different types of flooding attacks. Additionally, we propose a probabilistic SIP network simulation system that provides a test environment for network security tools.
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关键词
VoIP security,SIP,DDoS,Simulation,Bayesian change point models
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