An intelligent intrusion prediction and prevention system for software defined internet of things cloud networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s12083-022-01374-9.pdf
Reference30 articles.
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2. Muthanna MSA, Alkanhel R, Muthanna A, Rafiq A, Abdullah WAM (2022) Towards SDN-Enabled, Intelligent Intrusion Detection System for Internet of Things (IoT). IEEE Access 10:22756–22768. https://doi.org/10.1109/ACCESS.2022.3153716
3. Arsalan A, Rehman RA (2022) Interest broadcasting and timing attack in IoV (IBTA-IoV): A novel architecture using Named Software Defined Network. Comput Netw. https://doi.org/10.1016/j.comnet.2022.109121
4. Prathibha S, Bino J, Ahammed T, Das C, Oion SR, Ghosh S, Afroj M (202) Detection Methods for Software Defined Networking Intrusions (SDN). 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), IEEE. https://doi.org/10.1109/ACCAI53970.2022.9752574
5. Al Razib M, Javeed D, Khan MT, Alkanhel R, Ali Muthanna MS (2022) Cyber Threats Detection in Smart Environments Using SDN-Enabled DNN-LSTM Hybrid Framework. IEEE Access 10:53015–53026. https://doi.org/10.1109/ACCESS.2022.3172304
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