A Two-Tier System for Web Attack Detection Using Linear Discriminant Method

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dc.contributor.author Jamdagni, Aruna en_US
dc.contributor.author Nanda, Priyadarsi en_US
dc.contributor.author Liu, Ren Ping en_US
dc.contributor.author Jia, Wenjing en_US
dc.contributor.author Yeh, Wei-Chang en_US
dc.contributor.author Tan, Thomas en_US
dc.contributor.author He, Sean en_US
dc.contributor.editor Soriano, M; Qing, Sand; Lopez, J. en_US
dc.date.accessioned 2012-02-02T11:08:13Z
dc.date.available 2012-02-02T11:08:13Z
dc.date.issued 2010 en_US
dc.identifier 2010000100 en_US
dc.identifier.citation Tan Zhiyuan et al. 2010, 'A Two-Tier System for Web Attack Detection Using Linear Discriminant Method', , Springer, Berlin Heidelberg, , pp. 459-471. en_US
dc.identifier.issn 978-3-642-17649-4/03 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16309
dc.description.abstract Computational cost is one of the major concerns of the commercial Intrusion Detection Systems (IDSs). Although these systems are proven to be promising in detecting network attacks, they need to check all the signatures to identify a suspicious attack in the worst case. This is time consuming. This paper proposes an efficient two-tier IDS, which applies a statistical signature approach and a Linear Discriminant Method (LDM) for the detection of various Web-based attacks. The two-tier system converts high-dimensional feature space into a low-dimensional feature space. It is able to reduce the computational cost and integrates groups of signatures into an identical signature. The integration of signatures reduces the cost of attack identification. The final decision is made on the integrated low-dimensional feature space. Finally, the proposed two-tier system is evaluated using DARPA 1999 IDS dataset for webbased attack detection. en_US
dc.language en_US
dc.publisher Springer en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/978-3-642-17650-0_32 en_US
dc.title A Two-Tier System for Web Attack Detection Using Linear Discriminant Method en_US
dc.parent Information and Communications Security - Lecture Notes in Computer Science 6476 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Berlin Heidelberg en_US
dc.identifier.startpage 459 en_US
dc.identifier.endpage 471 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.for 080300 en_US
dc.personcode 10664403 en_US
dc.personcode 990421 en_US
dc.personcode 010261 en_US
dc.personcode 0000064368 en_US
dc.personcode 044299 en_US
dc.personcode 106463 en_US
dc.personcode 108020 en_US
dc.percentage 100 en_US
dc.classification.name Computer Software en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom Information and Communications Security en_US
dc.date.activity 20101215 en_US
dc.location.activity Barcelona, Spain en_US
dc.description.keywords Web-based attack, Intrusion detection, Packet payload, Feature selection, Linear discriminant method. en_US
dc.staffid en_US
dc.staffid 106463 en_US

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