@inproceedings{348b55a948d442a9a9d125107f8e624e,
title = "CLIQUE clustering approach to detect denial-of-service attacks",
abstract = "The development of an intrusion detection system (IDS) to achieve high detection accuracy while maintaining low false alarm rates using CLustering In QUEst (CLIQUE) clustering technique is discussed. The technique is used as it can handle high dimensional data in large databases without requiring the user to specify the subspaces for cluster analysis. CLIQUE clustering technique is a combination of grid-based clustering and density-based clustering. The implementation of the approach on real-time data by simulating denial-of-service (DoS) and DDoS attacks with background network traffic generated by Traffic Generator tool is also proposed.",
author = "Bethi, {Santosh K.} and Phoha, {Vir V.} and Reddy, {Yenumula B.}",
year = "2004",
language = "English (US)",
isbn = "0780385721",
series = "Proceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC",
pages = "447--448",
booktitle = "Proceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC",
note = "Proceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC ; Conference date: 10-06-2004 Through 11-06-2004",
}