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dc.contributor.authorAl Tobi, Amjad M.
dc.contributor.authorDuncan, Ishbel
dc.identifier.citationAl Tobi , A M & Duncan , I 2018 , ' KDD 1999 generation faults : a review and analysis ' , Journal of Cyber Security Technology , vol. 2 , no. 3-4 , pp. 164-200 .
dc.identifier.otherPURE: 252027683
dc.identifier.otherPURE UUID: f7b3938d-97f1-47cd-a37f-068cb4c09337
dc.identifier.otherORCID: /0000-0001-7297-9199/work/56639011
dc.description.abstractDARPA 1998 was one of the first Intrusion Detection datasets that was made publicly available. The KDD 1999 dataset was derived from DARPA 1998 to be used by researchers in developing machine learning (ML), classification and clustering algorithms with a security focus. DARPA 1998 has been criticised in literature due to raised concerns of problems in the dataset. Many researchers have accused KDD 1999 of having similar concerns but insufficient published evidence has been found. In this paper, we review the KDD 1999 generation process and present new proofs of existing inconsistencies in KDD 1999. We then present the process used to link some of the KDD 1999 (TELNET) records back to their origins in DARPA 1998 and discuss the interesting results and findings of this experiment.
dc.relation.ispartofJournal of Cyber Security Technologyen
dc.rights© 2018, Informa UK Ltd. This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at
dc.subjectDARPA 1998 dataseten
dc.subjectKDD Cup 1999 dataseten
dc.subjectKDD reviewen
dc.subjectKDD generation processen
dc.subjectKDD generation faultsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQA76 Computer softwareen
dc.subjectZA4050 Electronic information resourcesen
dc.subjectComputer Science(all)en
dc.subjectInformation Systemsen
dc.titleKDD 1999 generation faults : a review and analysisen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.description.statusPeer revieweden

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