Fuzzy ARTMAP Neural Network IDS Evaluation applied for real IEEE 802.11w data base

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorCiencia e Tecnologia Do Estado de Sao Paulo - IFSP
dc.date.accessioned2019-10-06T15:24:16Z
dc.date.accessioned2022-12-19T18:26:27Z
dc.date.available2019-10-06T15:24:16Z
dc.date.available2022-12-19T18:26:27Z
dc.date.created2019-10-06T15:24:16Z
dc.date.issued2018-10-10
dc.identifierProceedings of the International Joint Conference on Neural Networks, v. 2018-July.
dc.identifierhttp://hdl.handle.net/11449/187060
dc.identifier10.1109/IJCNN.2018.8489217
dc.identifier2-s2.0-85056519057
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5368098
dc.description.abstractIn the latest years, the network computers and computational systems are receiving several cyber-attacks that affect its security. This issue is pushing researches at intrusion detection system (IDS) techniques development. This paper describes the creation of a real database of a wireless network with IEEE 802.11w security amendment applied. The database was used to evaluate the Fuzzy ARTMAP classifier IDS. The methodology shows the implementation of Fuzzy ARTMAP neural network as IDS. The obtained results are promising and attest that the proposed classifier is feasible for this IDS application.
dc.languageeng
dc.relationProceedings of the International Joint Conference on Neural Networks
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectDatabase
dc.subjectFuzzy ARTMAP
dc.subjectIDS
dc.subjectInformation Security
dc.subjectWireless Network
dc.titleFuzzy ARTMAP Neural Network IDS Evaluation applied for real IEEE 802.11w data base
dc.typeActas de congresos


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