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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/40141
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dc.titleAbstract analysis of detection probability for statistically detecting DDoS attacks
dc.contributor.authorLi, M.
dc.contributor.authorChi, C.-H.
dc.date.accessioned2013-07-04T07:57:34Z
dc.date.available2013-07-04T07:57:34Z
dc.date.issued2003
dc.identifier.citationLi, M.,Chi, C.-H. (2003). Abstract analysis of detection probability for statistically detecting DDoS attacks. Proceedings of the International Conference on Internet Computing 2 : 607-608. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40141
dc.description.abstractFor a system regarding statistical detection of distributed denial-of-service (DDoS) flood attacks, a key specification is detection probability. Though there are many features of network data available for statistically detecting DDoS flood attacks, new features may appear as it is the case that new attacking tools are developing fast. For that reason, this paper studies abstract analysis of statistical detection of DDoS flood attacks, which provides a profile to represent detection probability as well as miss probability in general.
dc.sourceScopus
dc.subjectDDoS
dc.subjectIntrusion detection
dc.subjectNetwork security
dc.subjectStatistical detection
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings of the International Conference on Internet Computing
dc.description.volume2
dc.description.page607-608
dc.identifier.isiutNOT_IN_WOS
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