A New Machine Learning-based Collaborative DDoS Mitigation Mechanism in Software-Defined Network

Saif Saad Mohammed, Rasheed Hussain, Oleg Senko, Bagdat Bimaganbetov, Joo Young Lee, Fatima Hussain, Chaker Abdelaziz Kerrache, Ezedin Salem Baraka, Md Zakirul Alam Bhuiyan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    18 Citations (Scopus)

    Abstract

    Software Defined Network (SDN) is a revolutionary idea to realize software-driven network with the separation of control and data planes. In essence, SDN addresses the problems faced by the traditional network architecture; however, it may as well expose the network to new attacks. Among other attacks, distributed denial of service (DDoS) attacks are hard to contain in such software-based networks. Existing DDoS mitigation techniques either lack in performance or jeopardize the accuracy of the attack detection. To fill the voids, we propose in this paper a machine learning-based DDoS mitigation technique for SDN. First, we create a model for DDoS detection in SDN using NSL-KDD dataset and then after training the model on this dataset, we use real DDoS attacks to assess our proposed model. Obtained results show that the proposed technique equates favorably to the current techniques with increased performance and accuracy.

    Original languageEnglish
    Title of host publication2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2018
    PublisherIEEE Computer Society
    Volume2018-October
    ISBN (Electronic)9781538668764
    DOIs
    Publication statusPublished - Dec 26 2018
    Event14th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2018 - Limassol, Cyprus
    Duration: Oct 15 2018Oct 17 2018

    Other

    Other14th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2018
    Country/TerritoryCyprus
    CityLimassol
    Period10/15/1810/17/18

    Keywords

    • DDoS attacks
    • Machine Learning
    • SDN
    • Security

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Hardware and Architecture
    • Software

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