A Multiple-Criteria Quadratic Programming approach to network intrusion detection

Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen, Xiaojun Chen

Research output: Journal article publicationConference articleAcademic researchpeer-review

15 Citations (Scopus)

Abstract

The early and reliable detection and deterrence of malicious attacks, both from external and internal sources are a crucial issue for today's e-business. There are various methods available today for intrusion detection; however, every method has its limitations and new approaches should still be explored. The objectives of this study are twofold: one is to discuss the formulation of Multiple Criteria Quadratic Programming (MCQP) approach, and to investigate the applicability of the quadratic classification method to the intrusion detection problem. The demonstration of successful Multiple Criteria Quadratic Programming application in intrusion detection can add another option to network security toolbox. The classification results are examined by cross-validation and improved by an ensemble method. The results demonstrated that MCQP is excellent and stable. Furthermore, the outcome of MCQP can be improved by the ensemble method.
Original languageEnglish
Pages (from-to)145-153
Number of pages9
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3327
Publication statusPublished - 1 Dec 2004
Externally publishedYes
EventChinese Academy of Sciences Symposium on Data Mining and Knowledge Management, CASDMKM 2004 - Beijing, China
Duration: 12 Jul 200414 Jul 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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