期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2015
卷号：3
期号：12
页码：39-45
出版社：International Journal of Computer Science and Network Solutions
摘要：Todays, lives integrated to networks and internet. The needed information is transmitted through networks. So,someone may attempt to abuse the information and attack and make changes by weakness of networks. IntrusionDetection System is a system capable to detect some attacks. The system detects attacks through classifier constructionand considering IP in network. The recent researches showed that a fundamental classification cannot be effectivelonely and due to its errors, but mixing some classifications provide better efficiency. So, the current study attempt todesign three classes of support vector machine, the neural network of multilayer perceptron and parallel fuzzy system inwhich there are trained dataset and capability to detect two classes. Finally, decisions made by an intermediate networkdue to type of attack. In the present research, suggested system tested through dataset of KDD99 and results indicatedappropriate efficiency 99.71% in average
关键词：Intrusion Detection System; support vector machine; neural network of multilayer Perceptron; fuzzy;system.
