CLIQUE clustering approach to detect denial-of-service attacks

Santosh K. Bethi, Vir V. Phoha, Yenumula B. Reddy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC
Pages447-448
Number of pages2
StatePublished - Dec 1 2004
Externally publishedYes
EventProceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC - West Point, NY, United States
Duration: Jun 10 2004Jun 11 2004

Publication series

NameProceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC

Other

OtherProceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC
CountryUnited States
CityWest Point, NY
Period6/10/046/11/04

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Bethi, S. K., Phoha, V. V., & Reddy, Y. B. (2004). CLIQUE clustering approach to detect denial-of-service attacks. In Proceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC (pp. 447-448). (Proceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC).