2006 · 16 citations · 10 references
ComputingComputer ScienceComputer SystemsArtificial IntelligenceComputer SecurityMachine LearningAnomaly DetectionComputer IntrusionIntrusion DetectionNeural NetworksSystem SecurityComparative Data AnalysisComputer Intrusion DetectionMachine Learning For Intrusion DetectionNetwork Intrusion DetectionNetwork-based Intrusion Detection
Abstract:- Intrusion Detection is a major focus of research in the security of computer systems and networks. This paper presents an analysis of Artificial Neural Networks (ANN) being used in the development of effective Intrusion Detection Systems for computer systems and computer networks. The ANNs technologies, which are discussed, are designed to detect instances of the access of computer systems by unauthorized individuals and the misuse of system resources. A review of the foundations of Intrusion Detection Systems and other ANNs, which are the focus of current development efforts, is presented. The results of comparative analysis of different ANNs in Intrusion Detection are discussed. Finally, a discussion of the future ANN technologies, which guarantee to enhance the ability of computer systems to detect intrusions is provided.
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