O Rahman, MAG Quraishi… - 2019 IEEE world congress …, 2019 - ieeexplore.ieee.org
… In this paper, we focus on DDoSdetection and mitigation in an SDN network usingmachine learning, thus we need to use features that can easily be extracted without overloading the …
… This paper presents a new way to DDoSattackdetection and mitigation. Nevertheless, the current anomaly detection technologies cannot process and identify network threats in real-…
… approaches for detecting and mitigatingDDoSattacks in SDN environments. These approaches employ various machinelearning techniques, to enhance the security of SDN networks. …
NN Tuan, PH Hung, ND Nghia, NV Tho, TV Phan… - Electronics, 2020 - mdpi.com
… , we propose a novel DDoSattackmitigation in SDN-based … and ICMP flood attacks utilizing machinelearning approach, ie, … use of the SDN technology in oder to mitigateDDoSattacks. …
WI Khedr, AE Gouda, ER Mohamed - IEEE Access, 2023 - ieeexplore.ieee.org
… The use of newly formed Software-DefinedNetworking (SDN) significantly lowers the … This paper proposes an SDNbased, four-module DDoSattackdetection and mitigation framework …
… to detect and mitigate LR-DDoSattack in SDN environment usingmachinelearning … and destination address are not sufficient to detectattack, we have used four essential features viz. …
JD Gadze, AA Bamfo-Asante, JO Agyemang… - Technologies, 2021 - mdpi.com
… We further provide details on the time taken to detect and mitigate the attack. Our results … deeplearning algorithm that can be applied in the detection and mitigation of DDoS in the SDN …
… algorithms to enhance the detection and mitigation of LR-DDoSattacks. In this paper, we … -DDoSattackdetection and mitigation in SDN environments usingmachinelearning techniques…
SS Bhunia, M Gurusamy - 2017 27th International …, 2017 - ieeexplore.ieee.org
… Using non-linear SVM, the DDoSattack is detected with better precision (98%) and recall (95… anomaly detection of IoT traffic usingmachinelearning for early detection of attacks on IoT. …