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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Network Intrusion Detection System Based on Incremental Support Vector Machine
verfasst von : Haiyi Zhang, Yang Yi, Jiansheng Wu
Erschienen in: Contemporary Challenges and Solutions in Applied Artificial Intelligence
Verlag: Springer International Publishing
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Based on simple incremental SVM, we proposed an improved incremental SVM algorithm (ISVM), and combined it into a kernel function U-RBF and applied it into network intrusion detection. The simulation results show that the improved kernel function U-RBF has played some role in saving training time and test time. The ISVM has eased the oscillation phenomenon in the process of the learning to some extent, and the stability of ISVM is relatively good.