Machine learning aided traffic tolerance to improve resilience for software defined networks
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IEEE
Link
http://xplorestaging.ieee.org/ielx7/8082388/8093011/08093035.pdf?arnumber=8093035
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Intrusion detection systems for software-defined networks: a comprehensive study on machine learning-based techniques;Cluster Computing;2024-04-25
2. An exploration of dos attack and its mitigation techniques in software-defined networking;AIP Conference Proceedings;2024
3. An Intelligent SDN DDoS Detection Framework;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2021
4. A Survey on Machine Learning Applications for Software Defined Network Security;Lecture Notes in Computer Science;2019
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