Attack Classification Using Machine Learning Techniques in Software-Defined Networking
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58953-9_19
Reference30 articles.
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3. Alamri, H.A., Thayananthan, V.: Bandwidth control mechanism and extreme gradient boosting algorithm for protecting software-defined networks against DDoS attacks. IEEE Access 8, 194269–194288 (2020). https://doi.org/10.1109/ACCESS.2020.3033942
4. Alojail, M., Bhatia, S.: A novel technique for behavioral analytics using ensemble learning algorithms in e-commerce. IEEE Access 8, 150072–150080 (2020). https://doi.org/10.1109/ACCESS.2020.3016419
5. Alzahrani, A.O., Alenazi, M.J.E.: Designing a network intrusion detection system based on machine learning for software defined networks. Future Internet 13(5) (2021). https://doi.org/10.3390/fi13050111
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