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dc.contributor.authorHarrou, Fouzi
dc.contributor.authorBouyeddou, Benamar
dc.contributor.authorSun, Ying
dc.contributor.authorKadri, Benamar
dc.date.accessioned2019-04-10T11:14:17Z
dc.date.available2019-04-10T11:14:17Z
dc.date.issued2019-03-18
dc.identifier.citationHarrou F, Bouyeddou B, Sun Y, Kadri B (2018) A Method to Detect DOS and DDOS Attacks based on Generalized Likelihood Ratio Test. 2018 International Conference on Applied Smart Systems (ICASS). Available: http://dx.doi.org/10.1109/ICASS.2018.8652030.
dc.identifier.doi10.1109/ICASS.2018.8652030
dc.identifier.urihttp://hdl.handle.net/10754/631849
dc.description.abstractDenial of service (DOS) and distributed DOS (DDOS) continue to be a significant concern in internet and networking systems. This paper targets to develop an anomaly detection mechanism based on the generalized likelihood ratio (GLR) scheme to detect TCP and ICMPv6 based DOS/DDOS attacks. The anomaly detection problem is addressed as a hypothesis testing problem. The proposed approach uses GLR test to monitor internet traffic for better detecting potential cyber- attacks. The decision threshold of GLR approach has been computed non parametrically based on kernel density estimation. To evaluate the performance of this approach, two network traffic datasets have been used namely the DARPA99 and ICMPv6 datasets. Results highlight the efficiency of the proposed method.
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: OSR-2015-CRG4-2582. The authors (Benamar Bouyeddou and Benamar Kadri) would like to thank the STIC Lab, Department of Telecommunications, Abou Bekr Belkaid University for the continued support during the research.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8652030
dc.rightsArchived with thanks to 2018 International Conference on Applied Smart Systems (ICASS)
dc.subjectDARPA99 dataset
dc.subjectDOS/DDOS GLR test
dc.subjectICMPv6 attacks
dc.subjectICMPv6 dataset
dc.subjectSYN flooding
dc.titleA Method to Detect DOS and DDOS Attacks based on Generalized Likelihood Ratio Test
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentStatistics Program
dc.identifier.journal2018 International Conference on Applied Smart Systems (ICASS)
dc.conference.date2018-11-24 to 2018-11-25
dc.conference.name2018 International Conference on Applied Smart Systems, ICASS 2018
dc.conference.locationMedea, DZA
dc.eprint.versionPost-print
dc.contributor.institutionSTIC Lab., Abou Bekr Belkaid University, Department of Telecommunications, Tlemcen, , Algeria
kaust.personHarrou, Fouzi
kaust.personSun, Ying
kaust.personKadri, Benamar
kaust.grant.numberOSR-2015-CRG4-2582
refterms.dateFOA2019-04-10T11:15:51Z
dc.date.published-online2019-03-18
dc.date.published-print2018-11


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