Cited 129 time in
KDD Cup 99 Data Sets: A Perspective on the Role of Data Sets in Network Intrusion Detection Research
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Siddique, Kamran | - |
| dc.contributor.author | Akhtar, Zahid | - |
| dc.contributor.author | Khan, Farrukh Aslam | - |
| dc.contributor.author | Kim, Yangwoo | - |
| dc.date.accessioned | 2024-08-08T06:00:42Z | - |
| dc.date.available | 2024-08-08T06:00:42Z | - |
| dc.date.issued | 2019-02 | - |
| dc.identifier.issn | 0018-9162 | - |
| dc.identifier.issn | 1558-0814 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/18716 | - |
| dc.description.abstract | Many consider the KDD Cup 99 data sets to be outdated and inadequate. Therefore, the extensive use of these data sets in recent studies to evaluate network intrusion detection systems is a matter of concern. We contribute to the literature by addressing these concerns. | - |
| dc.format.extent | 11 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | IEEE COMPUTER SOC | - |
| dc.title | KDD Cup 99 Data Sets: A Perspective on the Role of Data Sets in Network Intrusion Detection Research | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1109/MC.2018.2888764 | - |
| dc.identifier.scopusid | 2-s2.0-85063377490 | - |
| dc.identifier.wosid | 000462366300006 | - |
| dc.identifier.bibliographicCitation | COMPUTER, v.52, no.2, pp 41 - 51 | - |
| dc.citation.title | COMPUTER | - |
| dc.citation.volume | 52 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 41 | - |
| dc.citation.endPage | 51 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
| dc.subject.keywordPlus | DETECTION SYSTEM | - |
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