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Quantifying Object-Oriented System Complexity: Introducing a Powerful Measurement Tool.

, , , , and . ICSET, page 221-226. IEEE, (2023)

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Reinforcement Learning-Based Trust and Reputation Model for Spectrum Leasing in Cognitive Radio Networks., and . ICITCS, page 1-6. IEEE Computer Society, (2013)Harnessing ANN for a Secure Environment., and . ISNN (2), volume 6064 of Lecture Notes in Computer Science, page 540-547. Springer, (2010)A Security-Enhanced Cluster Size Adjustment Scheme for Cognitive Radio Networks., , , and . IEEE Access, (2019)Reinforcement learning-based trust and reputation model for cluster head selection in cognitive radio networks., and . ICITST, page 256-261. IEEE, (2014)Quantifying Object-Oriented System Complexity: Introducing a Powerful Measurement Tool., , , , and . ICSET, page 221-226. IEEE, (2023)Trust and Reputation Management for Securing Collaboration in 5G Access Networks: The Road Ahead., , , and . IEEE Access, (2020)Analysis of a secure cooperative channel sensing protocol for cognitive radio networks., , and . SIN, page 41-46. ACM, (2012)Can Reinforcement Learning Address Security Issues? an Investigation into a Clustering Scheme in Distributed Cognitive Radio Networks., and . ICOIN, page 296-300. IEEE, (2019)Implications of Centralized and Distributed Multi-Agent Deep Reinforcement Learning in Dynamic Spectrum Access., , and . ISTT, page 62-67. IEEE, (2022)Performance Analysis of Federated Learning in wireless networks., , , , and . ISTT, page 68-73. IEEE, (2022)