Anomaly detection based on GA&FART approach of computer network security

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dc.contributor.authorPreecha Somwang
dc.contributor.authorWoraphon Lilakiatsakun
dc.contributor.authorSurat Srinoy
dc.contributor.correspondenceP. Somwang; Faculty of Information Science and Technology, Mahanakorn University of Technology, Bangkok, Cheumsampan Road, Thailand; email: preechak@nmc.ac.th
dc.date.accessioned2025-03-10T07:37:40Z
dc.date.available2025-03-10T07:37:40Z
dc.date.issued2012
dc.description.abstractThe problems of intrusion detection in a computer network security are difficulty of having a protective line in the information security against attackers. Researchers have developed Intrusion Detection System (IDS) which is capable of detecting attacks in several available environments. This paper aims to provide the intrusion detection technique into the system by using integrates like the Genetic Algorithm (GA) with the Fuzzy Adaptive Resonance Theory (FART). The GA is applied to randomly select the best attribution and reduction to the featured space. The FART is used to classify different group of data: Normal and Anomalous. The results show that this proposed technique can improve the performance of anomalous detection, showing the high performance of the detection rate and minimizing the false alarm rate. The approach was evaluated on the benchmark data from KDDCup'99 data set.
dc.identifier.citationProceedings of the 2nd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2012
dc.identifier.doi10.2316/P.2012.769-035
dc.identifier.isbn978-088986911-0
dc.identifier.scopus2-s2.0-84861920531
dc.identifier.urihttps://repository.dusit.ac.th//handle/123456789/4982
dc.languageEnglish
dc.rights.holderScopus
dc.subjectComputer network security
dc.subjectFuzzy adaptive resonance theory
dc.subjectGenetic algorithm
dc.subjectIntrusion detection system
dc.titleAnomaly detection based on GA&FART approach of computer network security
dc.typeConference paper
mods.location.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84861920531&doi=10.2316%2fP.2012.769-035&partnerID=40&md5=1c9944db23520b1db0918cd4a0ba81cd
oaire.citation.endPage302
oaire.citation.startPage297
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