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Proceedings of the 16th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 25

Matrix profile for DDoS attacks detection

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DOI: http://dx.doi.org/10.15439/2021F114

Citation: Proceedings of the 16th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 25, pages 357–361 ()

Full text

Abstract. Previous studies have focused on DDoS, which are a crucial problem in network security. This study explore a time series method MP, which has shown effective results in a number of applications. The MP is potentially well suited to use for DDoS as a rapid method of detection,a factor that is vital for the successful identification and cessation of DDoS.The study examined how the MP performed in diverse situations related to DDoS, as well as identifying those features that are most applicable in various scenarios.Results show the efficiency of MP against all types of DDoS with the exception of NTP.

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