A novel DDoS detection and mitigation technique using hybrid machine learning model and redirect illegitimate traffic in SDN network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-023-04152-1.pdf
Reference28 articles.
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2. Singh, J., Behal, S.: Detection and mitigation of DDoS attacks in SDN: a comprehensive review, research challenges and future directions. Comput. Sci. Rev. 37, 100279 (2020)
3. Singh, A., Kaur, N., Kaur, H.: An extensive vulnerability assessment and countermeasures in open network operating system software defined networking controller. Concurr. Comput. Pract. Exp. 34(15), e6978 (2022). https://doi.org/10.1002/cpe.6978
4. Banitalebi Dehkordi, A., Soltanaghaei, M., Boroujeni, F.Z.: The DDoS attacks detection through machine learning and statistical methods in SDN. J. Supercomput. 77, 2383–2415 (2021)
5. Muzafar, S., Jhanjhi, N.Z., Khan, N.A., Ashfaq, F.: DDoS attack detection approaches in on software defined network. In: 2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), pp. 1–5. IEEE (2022)
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