Res2Net-ERNN: deep learning based cyberattack classification in software defined network
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04581-6.pdf
Reference46 articles.
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3. Kumar, C., Biswas, S., Ansari, M.S.A., Govil, M.C.: Nature-inspired intrusion detection system for protecting software-defined networks controller. Comput. Secur.. Secur. 134, 103438 (2023)
4. Alzahrani, A.O., Alenazi, M.J.: ML-IDSDN: Machine learning based intrusion detection system for software-defined network. Concurrency and Computation: Practice and Experience 35(1), e7438 (2023)
5. Eljialy, A.E.M., Uddin, M.Y., Ahmad, S.: Novel framework for an intrusion detection system using multiple feature selection methods based on deep learning. Tsinghua Science and Technology 29(4), 948–958 (2024)
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