A Reliable Spectrum Sensing Method Based on Deep Learning for Primary User Emulation Attack Detection in Cognitive Radio Network
Author:
Affiliation:
1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/4234/10466646/10379021.pdf?arnumber=10379021
Reference17 articles.
1. PROLEMus: A Proactive Learning-Based MAC Protocol Against PUEA and SSDF Attacks in Energy Constrained Cognitive Radio Networks
2. Primary user emulation and jamming attack detection in cognitive radio via sparse coding
3. Deep Reinforcement Learning based reliable spectrum sensing under SSDF attacks in Cognitive Radio networks
4. Smart Traffic-Aware Primary User Emulation Attack and Its Impact on Secondary User Throughput Under Rayleigh Flat Fading Channel
5. Cooperative Spectrum Sensing in Cognitive Radio Networks in the Presence of the Primary User Emulation Attack
Cited by 1 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. A Systematic Review of the Primary User Emulation Attack in the Cognitive Radio Network;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02
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