期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：7
页码：319-325
出版社：International Journal of Computer Science and Network Security
摘要：Fuzzy logic based methods together with the techniques from Artificial Intelligence have gained importance. Data mining techniques like clustering techniques, Association rules together with fuzzy logic to model the fuzzy association rules are being used for classifying data. These together with the techniques of genetic algorithms like genetic programming are producing better results. The present paper proposes a model for intrusion detection systems for anomaly detection based on fuzzy association rules which use genetic programming. The model is implemented and tested on sample data with 40 variables and the results are documented in the paper. As the model includes the LGP,MEP and GEP where the three collectively tries to detect the intrusion to a great extent.
关键词：Data Mining algorithms; Fuzzy logic; Linear Genetic Programming; Multi Expression Genetic Programming; Gene Expression Programming.
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