Machine Learning-based Jamming Detection in Wireless IoT Networks
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8845908/8851588/08851633.pdf?arnumber=8851633
Cited by 33 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. FL-DSFA: Securing RPL-Based IoT Networks against Selective Forwarding Attacks Using Federated Learning;Sensors;2024-09-08
2. Machine Learning-Based Cooperative Clustering for Detecting and Mitigating Jamming Attacks in beyond 5G Networks;Information Systems Frontiers;2024-09-06
3. Secured Frank Wolfe learning and Dirichlet Gaussian Vicinity based authentication for IoT edge computing;Peer-to-Peer Networking and Applications;2024-04-04
4. From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation;IEEE Open Journal of the Communications Society;2024
5. LSTM-Based Jamming Detection and Forecasting Model Using Transport and Application Layer Parameters in Wi-Fi Based IoT Systems;IEEE Access;2024
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