文章基本信息

标题：Protocol Type Based Intrusion Detection Using RBF Neural Network
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作者：Miss Aslihan Ozkaya ; Professor Bekir Karlik
期刊名称：International Journal of Artificial Intelligence and Expert Systems (IJAE)
电子版ISSN：2180-124X
出版年度：2012
卷号：3
期号：4
页码：90-99
出版社：Computer Science Journals
摘要：Intrusion detection systems (IDSs) are very important tools for providing information and computer security. In IDSs, the publicly available KDD'99, has been the most widely deployed data set used by researchers since 1999. Using a common data set has been provided to compare the results of different researches. The aim of this study is to find optimal methods of preprocessing the KDD'99 data set and employ the RBF learning algorithm to apply an Intrusion Detection System.
关键词：RBF network; Intrusion Detection; Network Security; KDD dataset