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dc.contributor.authorDiab, D.M.
dc.contributor.authorAsSadhan, B.
dc.contributor.authorBinsalleeh, H.
dc.contributor.authorLambotharan, S.
dc.contributor.authorKyriakopoulos, K.G.
dc.contributor.authorGhafir, Ibrahim
dc.date.accessioned2021-04-18T19:52:18Z
dc.date.accessioned2021-05-12T13:13:06Z
dc.date.available2021-04-18T19:52:18Z
dc.date.available2021-05-12T13:13:06Z
dc.date.issued2021
dc.identifier.citationDiab DM, AsSadhan B, Binsalleeh H et al (2021) Denial of service detection using dynamic time warping'. International Journal of Network Management. Accepted for publication. e2159.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18458
dc.descriptionYesen_US
dc.description.abstractWith the rapid growth of security threats in computer networks, the need for developing efficient security‐warning systems is substantially increasing. Distributed denial‐of‐service (DDoS) and DoS attacks are still among the most effective and dreadful attacks that require robust detection. In this work, we propose a new method to detect TCP DoS/DDoS attacks. Since analyzing network traffic is a promising approach, our proposed method utilizes network traffic by decomposing the TCP traffic into control and data planes and exploiting the dynamic time warping (DTW) algorithm for aligning these two planes with respect to the minimum Euclidean distance. By demonstrating that the distance between the control and data planes is considerably small for benign traffic, we exploit this characteristic for detecting attacks as outliers. An adaptive thresholding scheme is implemented by adjusting the value of the threshold in accordance with the local statistics of the median absolute deviation (MAD) of the distances between the two planes. We demonstrate the efficacy of the proposed method for detecting DoS/DDoS attacks by analyzing traffic data obtained from publicly available datasets.en_US
dc.description.sponsorshipThe Deanship of Scientific Research, King Saud University. The Gulf Science, Innovation, and Knowledge Economy Programme of the U.K. Governmenten_US
dc.language.isoenen_US
dc.rights(c) 2021 John Wiley and Sons. Full-text reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectDenial of Serviceen_US
dc.subjectComputer networksen_US
dc.subjectDoS attacksen_US
dc.subjectDynamic time warpingen_US
dc.titleDenial of service detection using dynamic time warpingen_US
dc.status.refereedYesen_US
dc.date.Accepted2021-03-14
dc.date.application2021-04-12
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1002/nem.2159
dc.date.updated2021-04-18T18:52:26Z
refterms.dateFOA2021-05-12T13:13:27Z
dc.openaccess.statusGreenen_US


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