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The intrusion detection system architecture commonly used in commercial and research systems have a number of problems that limit their configurability, scalability or efficiency. In this paper, two machine-learning paradigms, artificial neural networks and fuzzy inference system, are used to design an intrusion detection system. SNORT is used to perform(More)
Intrusion Detection System (IDS) are said to be more effective when it has both high intrusion detection (true positive) rate and low false alarm (false positive). But current IDS when implemented using data mining approach like clustering, classification alone are unable to give 100 % detection rate hence lack effectiveness. In order to overcome these(More)
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