Soft Computing Based Intrusion Detection System?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 5)Publication Date: 2014-05-30
Authors : Ravi Sharma; Balkishan; Sunil Sikka;
Page : 245-250
Keywords : Intrusion Detection System; Artificial Neural Network; Fuzzy Logic; Genetic Algorithm;
Abstract
Intrusion Detection System is used to detect the unwanted activities over the network and to design IDS soft computing techniques are used. This paper describes the role of Artificial Neural Network, Fuzzy Logic and Genetic Algorithm in Intrusion Detection System. The artificial neural network learning algorithms, data retrieval using fuzzy logic under uncertainty and power of Genetic algorithm to optimize the decision of fuzzy inference system in aspect of IDS are discussed. Main focus of the paper is to combine all the modules of the IDS and explaining the role of soft computing.
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Last modified: 2014-05-16 01:03:17