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dc.contributor.authorBouyeddou, Benamar
dc.contributor.authorKadri, Benamar
dc.contributor.authorHarrou, Fouzi
dc.contributor.authorSun, Ying
dc.identifier.citationBouyeddou, B., Kadri, B., Harrou, F., & Sun, Y. (2020). DDOS-attacks detection using an efficient measurement-based statistical mechanism. Engineering Science and Technology, an International Journal. doi:10.1016/j.jestch.2020.05.002
dc.description.abstractA monitoring mechanism is vital for detecting malicious attacks against cyber systems. Detecting denial of service (DOS) and distributed DOS (DDOS) is one of the most important security challenges facing network technologies. This paper introduces a reliable detection mechanism based on the continuous ranked probability score (CRPS) statistical metric and exponentially smoothing (ES) scheme for enabling efficient detection of DOS and DDOS attacks. In this regard, the CRPS is used to quantify the dissimilarity between a new observation and the distribution of normal traffic. The ES scheme, which is sensitive in detecting small changes, is applied to CRPS measurements for anomaly detection. Moreover, in CRPS-ES approach, a nonparametric decision threshold computed via kernel density estimation is used to suitably detect anomalies. Tests on three publically available datasets proclaim the efficiency of the proposed mechanism in detecting cyber-attacks.
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-2019- CRG7-3800.
dc.publisherElsevier BV
dc.rightsThis is an open access article under the CC BY-NC-ND license.
dc.titleDDOS-attacks detection using an efficient measurement-based statistical mechanism
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentEnvironmental Statistics Group
dc.contributor.departmentStatistics Program
dc.identifier.journalEngineering Science and Technology, an International Journal
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSTIC Lab., Department of Telecommunications, Abou Bekr Belkaid University, Tlemcen, Algeria
kaust.personHarrou, Fouzi
kaust.personSun, Ying
kaust.acknowledged.supportUnitOffice of Sponsored Research (OSR)

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