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Quantifying the effect of incomplete information in denial of service detection

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dc.contributor.author Lorgat, MW
dc.contributor.author Baghai-Wadji, A
dc.contributor.author McDonald, Andre M
dc.date.accessioned 2019-03-27T09:27:07Z
dc.date.available 2019-03-27T09:27:07Z
dc.date.issued 2017-10
dc.identifier.citation Lorgat, M.W., Baghai-Wadji, A. and McDonald, A.M. 2017. Quantifying the effect of incomplete information in denial of service detection. Proceedings of the 2017 Global Wireless Summit, 15 - 18 October 2017, Cape Town, South Africa en_US
dc.identifier.uri http://gwsummit2017.org/images/GWS_Program2.pdf
dc.identifier.uri http://hdl.handle.net/10204/10863
dc.description Due to copyright restrictions, the attached pdf is the accepted version only. For access to the published version, kindly consult the publisher's website. en_US
dc.description.abstract The performance loss due to incomplete information in denial of service (DoS) detection is quantified in this paper. Volumetric DoS detection is formulated as a signal detection problem. Two detectors are defined: the first operates without knowledge of the attack model and the second operates as if the attack model were known. The performance loss is quantified by comparing the two detectors. Simulation results demonstrate that the performance loss is greatest for low intensity attacks and slowly diminishes as the attack intensity increases. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;20034
dc.subject Denial of Service en_US
dc.subject DoS en_US
dc.subject Signal detection problems en_US
dc.subject Intrusion detection en_US
dc.subject Anomaly detection en_US
dc.title Quantifying the effect of incomplete information in denial of service detection en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Lorgat, M., Baghai-Wadji, A., & McDonald, A. M. (2017). Quantifying the effect of incomplete information in denial of service detection. IEEE. http://hdl.handle.net/10204/10863 en_ZA
dc.identifier.chicagocitation Lorgat, MW, A Baghai-Wadji, and Andre M McDonald. "Quantifying the effect of incomplete information in denial of service detection." (2017): http://hdl.handle.net/10204/10863 en_ZA
dc.identifier.vancouvercitation Lorgat M, Baghai-Wadji A, McDonald AM, Quantifying the effect of incomplete information in denial of service detection; IEEE; 2017. http://hdl.handle.net/10204/10863 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Lorgat, MW AU - Baghai-Wadji, A AU - McDonald, Andre M AB - The performance loss due to incomplete information in denial of service (DoS) detection is quantified in this paper. Volumetric DoS detection is formulated as a signal detection problem. Two detectors are defined: the first operates without knowledge of the attack model and the second operates as if the attack model were known. The performance loss is quantified by comparing the two detectors. Simulation results demonstrate that the performance loss is greatest for low intensity attacks and slowly diminishes as the attack intensity increases. DA - 2017-10 DB - ResearchSpace DP - CSIR KW - Denial of Service KW - DoS KW - Signal detection problems KW - Intrusion detection KW - Anomaly detection LK - https://researchspace.csir.co.za PY - 2017 T1 - Quantifying the effect of incomplete information in denial of service detection TI - Quantifying the effect of incomplete information in denial of service detection UR - http://hdl.handle.net/10204/10863 ER - en_ZA


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