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The main purpose of this paper is to incorporate several soft computing techniques into the classifying system to detect and classify intrusions from normal behaviors based on the attack type in a computer network. Some soft computing paradigms such as neuro-fuzzy networks, fuzzy inference approach and genetic algorithms are investigated in this work. A set of neuro-fuzzy classifiers are used to perform...
With rapid growth of computer networks during the past few years, network security has become a crucial issue. Among the various network security measures, intrusion detection systems (IDS) play a vital role to integrity, confidentiality and availability of resources. It seems that the presence of uncertainty and the imprecise nature of the intrusions make fuzzy systems suitable for such systems....
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