Machine Learning Method for DDoS Detection and Mitigation in a Multi-controller SDN Environment Using Cloud Computing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35507-3_54
Reference15 articles.
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2. Sahoo, K.S.: An evolutionary SVM model for DDoS attack detection in software defined networks. IEEE Access 8, 132502–132513 (2020)
3. Lin, C.-H., Li, C.-Y., Wang, K.: Setting malicious flow entries against SDN operations: attacks and countermeasures. In: 2018 IEEE Conference on Dependable and Secure Computing (DSC), pp. 1–8. IEEE (2018)
4. Kalkan, K., Altay, L., Gür, G., Alagöz, F.: JESS: joint entropy-based DDoS defense scheme in SDN. IEEE J. Selected Areas Commun. 36(10), 2358–2372 (2018)
5. Lubna Fayez Eliyan and Roberto Di Pietro: Dos and DDoS attacks in software defined networks: a survey of existing solutions and research challenges. Future Gener. Comput. Syst. 122, 149–171 (2021)
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