SDMTA: Attack Detection and Mitigation Mechanism for DDoS Vulnerabilities in Hybrid Cloud Environment

10.1109/TII.2021.3119038

10.1109/TII.2017.2769106

10.1109/ICC.2018.8422327

10.1109/ICC.2018.8422448

10.1016/j.inffus.2018.10.013

10.1007/s13369-017-2414-5

10.1504/IJCNDS.2019.101915

10.1080/09720529.2020.1729503

10.1109/MCOM.2017.1600970

10.1145/3132062.3132074

10.1007/s12652-018-0800-9

10.1109/ACCESS.2019.2896783

10.1109/ACCESS.2017.2688460

10.1016/j.jksuci.2019.04.010

10.1016/j.comnet.2015.02.026

10.1080/0952813X.2020.1744196

10.1007/s13369-017-2844-0

10.1016/j.procs.2020.03.194

10.3390/technologies7010019

tuan, 2019, Performance evaluation of Botnet DDoS attack detection using machine learning, Evol Intell, 20, 283

10.1109/ACCESS.2019.2922196

10.1080/07366981.2018.1453101

10.3390/fi9030043

10.1515/cait-2017-0040

bakr, 2019, A survey on mitigation techniques against DDoS attacks on cloud computing architecture, Int J Adv Sci Technol, 28, 187

srinivasan, 2019, A survey on the impact of DDoS attacks in cloud computing: Prevention, detection and mitigation techniques, Intelligent Communication Technologies and Virtual Mobile Networks

prathyusha, 2020, A cognitive mechanism for mitigating DDoS attacks using the artificial immune system in a cloud environment, Evol Intell, 1

10.1109/ICCES45898.2019.9002596

10.1016/j.future.2018.09.022

10.2139/ssrn.3842825

10.1016/j.cosrev.2021.100371

10.1007/s13369-017-2844-0

10.1007/s11227-019-02945-z