A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in Named Data Networking

Author:

Karami AminORCID,Guerrero-Zapata Manel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Cited by 46 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. DDoS Attack and Detection Methods in Internet-Enabled Networks: Concept, Research Perspectives, and Challenges;Journal of Sensor and Actuator Networks;2023-07-06

2. ADMBIFA: Accurate Detection and Mitigation of Blended Interest Flooding Attacks in NDNs;2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR);2023-06-05

3. Machine Learning Based Feature Selection for DDoS Detection in Named Data Networking;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

4. Interest Flooding Attacks in Named Data Networking: Survey of Existing Solutions, Open Issues, Requirements, and Future Directions;ACM Computing Surveys;2022-12-15

5. A Survey on Security Attacks and Intrusion Detection Mechanisms in Named Data Networking;Computers;2022-12-14

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