A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication

Author:

Arjoune Youness,Salahdine Fatima,Islam Md. Shoriful,Ghribi Elias,Kaabouch Naima

Publisher

IEEE

Cited by 60 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. Machine Learning-Based Channel Allocation for Secure Indoor Visible Light Communications;2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP);2024-07-17

2. An Advanced EVM Metric Based Jamming Signal Detection Method for Next-Generation Communication Systems;2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom);2024-06-24

3. Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing;ICC 2024 - IEEE International Conference on Communications;2024-06-09

4. Resilient Machine Learning for NextG Wireless Systems Under Smart Jamming;ICC 2024 - IEEE International Conference on Communications;2024-06-09

5. Detecting 5G Signal Jammers Using Spectrograms with Supervised and Unsupervised Learning;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

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