期刊名称：International Journal of Computer Networks & Communications
印刷版ISSN：0975-2293
电子版ISSN：0974-9322
出版年度：2009
卷号：1
期号：2
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper proposed a new approach to design the system using a hybrid of misuse and anomaly detection for training of normal and attack packets respectively. The utilized method for attack training is the combination of unsupervised and supervised Neural Network (NN) for Intrusion Detection System. By the unsupervised NN based on Self Organizing Map (SOM), attacks will be classified into smaller categories considering their similar features, and then unsupervised NN based on Backpropagation will be used for clustering. By misuse approach known packets would be identified fast and unknown attacks will be able to detect by this method.
