Mitigation of the spectrum sensing data falsifying attack in cognitive radio networks
Author:
Affiliation:
1. Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA
2. Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA
Funder
NSF
Publisher
Informa UK Limited
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Computational Mechanics
Link
https://www.tandfonline.com/doi/pdf/10.1080/23335777.2020.1811387
Reference24 articles.
1. MAC Based Energy Efficiency in Cooperative Cognitive Radio Network in the Presence of Malicious Users
2. Mitigating SSDF attack using k-medoids clustering in Cognitive Radio Networks
3. Association rule mining for detection of colluding SSDF attack in Cognitive Radio Networks
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2. Reconfigurable Sensing Time in Cooperative Cognitive Network Using Machine Learning;Computers, Materials & Continua;2023
3. Hierarchical Cat and Mouse based ensemble extreme learning machine for spectrum sensing data falsification attack detection in cognitive radio network;Microprocessors and Microsystems;2022-04
4. An Authentication Based Approach for Prevention of Spectrum Sensing Data Falsification Attacks in Cognitive Radio Network;Wireless Personal Communications;2021-11-13
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