A Distributed Self-Organizing Map for DoS attack detection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, M. | - |
dc.contributor.author | Jung, S. | - |
dc.contributor.author | Park, M. | - |
dc.date.available | 2019-04-10T10:15:10Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2015 | - |
dc.identifier.isbn | 9781479989935 | - |
dc.identifier.issn | 2165-8528 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32644 | - |
dc.description.abstract | Self-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.publisher | IEEE Computer Society | - |
dc.relation.isPartOf | International Conference on Ubiquitous and Future Networks, ICUFN | - |
dc.title | A Distributed Self-Organizing Map for DoS attack detection | - |
dc.type | Conference | - |
dc.identifier.doi | 10.1109/ICUFN.2015.7182487 | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015, v.2015-August, pp.19 - 22 | - |
dc.identifier.scopusid | 2-s2.0-84944686592 | - |
dc.citation.conferenceDate | 2015-07-07 | - |
dc.citation.endPage | 22 | - |
dc.citation.startPage | 19 | - |
dc.citation.title | 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015 | - |
dc.citation.volume | 2015-August | - |
dc.contributor.affiliatedAuthor | Jung, S. | - |
dc.contributor.affiliatedAuthor | Park, M. | - |
dc.type.docType | Conference Paper | - |
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