文章基本信息

标题：Preventing DDoS Attack Using Fuzzy C Mean Clustering
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作者：M.Durga Devi ; V.Gokula Priya ; S.Sarumathy 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：2
页码：1640
DOI：10.15680/IJIRSET.2017.0602030
出版社：S&S Publications
摘要：Distributed denial of service attack(DDoS) brings a very serious threat to send to the stability of theInternet.This paper analyzes the characteristic of the DDoS attack and recently DDoS attack detection method. Presentsa DDoS attack detection model based on data mining algorithm. FCM cluster algorithm and Apriori associationalgorithm used to extracts network traffic model and network packet protocol status model. The threshold is set fordetection model. Experimental result shows that DDoS attacks can be detected efficiently and swiftly.
关键词：DDoS; cluster algorithm; association algorithm; FCM; Apriori