Machine learning-based jamming detection for IEEE 802.11: Design and experimental evaluation-Reference-Cited by-同舟云学术

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Machine learning-based jamming detection for IEEE 802.11: Design and experimental evaluation

Published:2014-06 Issue: Volume: Page:
ISSN:
Container-title:Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014
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Author:

Punal Oscar,Aktas Ismet,Schnelke Caj-Julian,Abidin Gloria,Wehrle Klaus,Gross James

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6912450/6918912/06918964.pdf?arnumber=6918964

Cited by 30 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. Intelligent anti-jamming scheme of UAV swarm based on DQN;Second International Conference on Informatics, Networking, and Computing (ICINC 2023);2024-04-04

2. LSTM-Based Jamming Detection and Forecasting Model Using Transport and Application Layer Parameters in Wi-Fi Based IoT Systems;IEEE Access;2024

3. A Signature-Based Wireless Intrusion Detection System Framework for Multi-Channel Man-in-the-Middle Attacks Against Protected Wi-Fi Networks;IEEE Access;2024

4. Securing the Future: A Resourceful Jamming Detection Method Utilizing the EVM Metric for Next-Generation Communication Systems;Electronics;2023-12-09

5. Cooperative Jamming for Physical Layer Security Enhancement Using Deep Reinforcement Learning;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04

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