Abstract
Cognitive radio has emerged as a promising technology aimed at improving allocated spectrum utilization and alleviating spectrum shortage through opportunistic spectrum usage, which has been widely studied due to its strong robustness and high reliability. However, its vulnerability to potential attacks raises security issues. Extensive researches have focused on how to alleviate the negative effect of the malicious attack on cooperative spectrum sensing. This paper first briefly discusses the models of cooperative spectrum sensing, fading channel, and malicious attack, then further illustrates the influence of fading and malicious users on cooperative spectrum sensing in detail. Motivated by the above analysis, we propose a robust modified outlier removal (MOR) spectrum sensing scheme. Before data fusion, the fusion center conditionally removes outlier which is most likely tampered by the malicious user. Through several simulations, we compare and analyze the proposed scheme with the traditional scheme to verify its correctness and feasibility. Simulation results show that the proposed scheme has a high defense under various sensing environments and different attack strengths. The proposed scheme can resist malicious users and improve detection performance more effectively than the traditional scheme.
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This work was supported by the National Natural Science Foundation of China under Grant 201011348.
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Guo, L., Chen, W., Cong, Y., Yan, X. (2023). A Robust MOR-Based Secure Fusion Strategy Against Byzantine Attack in Cooperative Spectrum Sensing. In: Chen, H., Fan, P., Wang, L. (eds) Communications, Networking, and Information Systems. CNIS 2023. Communications in Computer and Information Science, vol 1839. Springer, Singapore. https://doi.org/10.1007/978-981-99-3581-9_6
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DOI: https://doi.org/10.1007/978-981-99-3581-9_6
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