Network intrusion detection system using genetic network programming with support vector machine
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
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This paper presents the application of data mining approaches for an intrusion detection system. Intrusion detection is the act of detecting actions that attempt to compromise the confidentiality, integrity or availability of the resource of a computer system. In this paper, an IDS model is presented as well as its limitation in determining security violations. Furthermore, this paper focuses on several data mining techniques that can aid in the process of intrusion detection.