Research Article
Reward-Based Spectrum Sensing and Allocation Mechanism Defending Against SSDF Attacks
@INPROCEEDINGS{10.1007/978-3-031-86203-8_25, author={Liubi Huang and Wei Wang and Xiaozhen Lu and Jinge Sun and Bo Zhou and Mingjie Wang}, title={Reward-Based Spectrum Sensing and Allocation Mechanism Defending Against SSDF Attacks}, proceedings={Wireless and Satellite Systems. 14th EAI International Conference, WiSATS 2024, Harbin, China, August 23--25, 2024, Proceedings, Part II}, proceedings_a={WISATS PART 2}, year={2025}, month={3}, keywords={Credible Spectrum Sensing Spectrum Access SSDF Attacks}, doi={10.1007/978-3-031-86203-8_25} }- Liubi Huang
Wei Wang
Xiaozhen Lu
Jinge Sun
Bo Zhou
Mingjie Wang
Year: 2025
Reward-Based Spectrum Sensing and Allocation Mechanism Defending Against SSDF Attacks
WISATS PART 2
Springer
DOI: 10.1007/978-3-031-86203-8_25
Abstract
The acquisition of reliable spectrum data is a prerequisite for spectrum sharing. However, current spectrum sensing faces serious Spectrum Sensing Data Falsification (SSDF) attacks. To mitigate this challenging issue, we propose a reward-based joint spectrum sensing and channel allocation scheme, where secondary users are required to submit estimated revenue values along with their sensing results to the fusion center, the center then allocates channels based on the revenue results. The channel allocation problem is formulated as an optimization problem to maximize revenue, which is then solved using the Hungarian algorithm. Simulation results show that the obtained revenue of the secondary user with normal sensing is significantly higher than that of when launching SSDF attacks, demonstrating the effectiveness of the proposed scheme in mitigating SSDF attacks. Moreover, the proposed scheme outperforms existing spectrum sensing and channel allocation schemes when the number of trusted users is small.
