Improving the computer network intrusion detection performance using the relevance vector machine with Chebyshev chaotic map
作者： Di He
DOI: 10.1109/ISCAS.2011.5937880
关键词:
摘要: A novel computer network intrusion detection approach based on the relevance vector machine (RVM) classification is proposed, where a Chebyshev chaotic map introduced as inner training noise signal. According to known distribution property of map, iteration process RVM classifier can be derived and realized easily. Compared with support (SVM) method, it found from simulation results that proposed reach higher probabilities under different kinds signals, corresponding computational complexity reduced efficiently, which guarantee reliability this RVM-based map.
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