期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2011
卷号：2
期号：6
页码：3035-3043
出版社：Technopark Publications
摘要：Network based intrusion detection system use the models of attacks to identify intrusive behavior ability of systems to detect attacks by quality of models which are called signatures. Some attacks exploits in different ways. For this reason we use testing tools that able to detect goodness of signatures. This technique describes test and evaluate misuse detection models in the case of network-based intrusion detection systems. we use Mutant Exploits are working against vulnerability applications. This mutant exploit is based on mechanism to generate large no. of exploit by applying mutant operators. The results of the systems in detecting these variations pro-vide a quantitative basis for the evaluation of the quality of the corresponding detection model. but here we are going to find defects of this testing and is this test will provide 100% security for this system (or) not. and also which technique gives much security among these techniques fuzzy logic, neural networks, hybrid fuzzy and neural networks, naïve bayes, genetic algorithms and data mining
