An approach to solve computer attacks based on hybrid model

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dc.contributor.authorSurat Srinoy
dc.contributor.authorWitcha Chimphlee
dc.contributor.authorSiriporn Chimphlee
dc.contributor.authorYoothapoom Poopaibool
dc.contributor.correspondenceS. Srinoy; Faculty of Science and Technology, Suan Dusit Rajabhat University, Dusit, Bangkok, 295 Ratchasima Road, Thailand; email: surat_sri@dusit.ac.th
dc.date.accessioned2025-03-10T07:38:08Z
dc.date.available2025-03-10T07:38:08Z
dc.date.issued2006
dc.description.abstractIt is an important issue for the security of network to detect new intrusion attack. We introduce the idea of the Independent component analysis (ICA) based feature selection heuristics, and present Support Vector Machine (SVM) algorithm for data classification. ICA aims at extracting unknown hidden factors/components from multivariate data using only the assumption that unknown factors are mutually independent. The experimental results on dataset Knowledge Discovery and Data Mining (KDDCup99) show that our method outperforms the existing intrusion detection methods.
dc.identifier.citationWSEAS Transactions on Computers
dc.identifier.issn11092750
dc.identifier.scopus2-s2.0-33744533060
dc.identifier.urihttps://repository.dusit.ac.th//handle/123456789/5067
dc.languageEnglish
dc.rights.holderScopus
dc.subjectAnomaly detection
dc.subjectIndependent component analysis
dc.subjectIntrusion detection system
dc.subjectSupport Vector Machine
dc.titleAn approach to solve computer attacks based on hybrid model
dc.typeArticle
mods.location.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33744533060&partnerID=40&md5=bed50b5edba81667b57da0961501e22c
oaire.citation.endPage1284
oaire.citation.issue6
oaire.citation.startPage1280
oaire.citation.volume5
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