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A Distributed Self-Organizing Map for DoS attack detection

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dc.contributor.authorKim, M.-
dc.contributor.authorJung, S.-
dc.contributor.authorPark, M.-
dc.date.available2019-04-10T10:15:10Z-
dc.date.created2018-04-17-
dc.date.issued2015-
dc.identifier.isbn9781479989935-
dc.identifier.issn2165-8528-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32644-
dc.description.abstractSelf-Organizing Map (SOM), one of data mining techniques, has been used as a tool to detect DoS attacks. However, existing SOM-based approaches have the potential drawbacks, the limited detection throughput and vulnerability to DoS attack. Therefore, this paper proposes a new form of SOM, Distributed SOM (DSOM), and shows the feasibility of DSOM through comprehensive experiments. © 2015 IEEE.-
dc.publisherIEEE Computer Society-
dc.relation.isPartOfInternational Conference on Ubiquitous and Future Networks, ICUFN-
dc.titleA Distributed Self-Organizing Map for DoS attack detection-
dc.typeConference-
dc.identifier.doi10.1109/ICUFN.2015.7182487-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation7th International Conference on Ubiquitous and Future Networks, ICUFN 2015, v.2015-August, pp.19 - 22-
dc.identifier.scopusid2-s2.0-84944686592-
dc.citation.conferenceDate2015-07-07-
dc.citation.endPage22-
dc.citation.startPage19-
dc.citation.title7th International Conference on Ubiquitous and Future Networks, ICUFN 2015-
dc.citation.volume2015-August-
dc.contributor.affiliatedAuthorJung, S.-
dc.contributor.affiliatedAuthorPark, M.-
dc.type.docTypeConference Paper-
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