Robust Cooperative Primary User Detection in Malicious Cognitive Radio Networks
Author:
Affiliation:
1. University of Kassel,Communications Laboratory,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9858123/9858124/09858285.pdf?arnumber=9858285
Reference21 articles.
1. Can Clustering be Used to Detect Intrusion During Spectrum Sensing in Cognitive Radio Networks?
2. A Cooperative Spectrum Sensing Scheme in Malicious Cognitive Radio Networks
3. Defending Against Massive SSDF Attacks From a Novel Perspective of Honest Secondary Users
4. Defense Against SSDF Attack in Cognitive Radio Networks: Attack-Aware Collaborative Spectrum Sensing Approach
5. Attack-aware defense strategy: A robust cooperative spectrum sensing in cognitive radio sensor networks;sharifi;Iranian Journal of Science and Technology Transactions of Electrical Engineering,2018
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. OntoBlock: a novel ontological-based and blockchain enabled spectrum sensing framework for detection of malicious users in cognitive radio internet of things (CR-IoT) networks;International Journal of Information Technology;2024-06-21
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