Maximizing Interweave CRNs Throughput Under SSDF Attacks: A DRL-Enabled POMDP Approach
Author:
Affiliation:
1. Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan
2. Faculty of Engineering and Applied Science, Memorial University, St. John’s, NL, Canada
Funder
National Science and Technology Council
Sixth Generation Communication and Sensing Research Center
Higher Education SPROUT Project, the Ministry of Education of Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/4234/10554342/10488459.pdf?arnumber=10488459
Reference7 articles.
1. Robust Beamformer Design in Active RIS-Assisted Multiuser MIMO Cognitive Radio Networks
2. Bayesian-Inference-Based Sliding Window Trust Model Against Probabilistic SSDF Attack in Cognitive Radio Networks
3. Massive SSDF Attackers Identification in Cognitive Radio Networks by Using Consistent Property
4. Deep Reinforcement Learning based reliable spectrum sensing under SSDF attacks in Cognitive Radio networks
5. Detection Strategy Against Restricted SSDF Attack With Potential Interaction Assistance
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