期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2011
卷号：1
期号：1
页码：69-75
出版社：Technopark Publications
摘要：Intrusion detection and clustering have always been hot topics in the field of machine learning. Clustering as an intrusion detection technique has long before proved to be beneficial. But as the methods and types of attacks are changing, there is an ongoing need to develop more and more better techniques that can fight back. The main aim of this paper is to use Fuzzy c-medoids algorithm to intrusion detection. The beginning section of the paper deals with introduction to clustering in the field of intrusion detection while the later section defines how fuzzy k-medoids algorithm performs better than fuzzy c-means algorithm
