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Research on spectrum sensing data falsification attack detection algorithm in cognitive Internet of Things

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Abstract

The Internet of Things (IoT) is a new paradigm for connecting various heterogeneous networks. Cognitive radio (CR) adopts cooperative spectrum sensing (CSS) to realize the secondary utilization of idle spectrum by unauthorized IoT devices, allowing IoT objects can effectively use spectrum resources. However, the abnormal IoT devices in the cognitive Internet of Things will disrupt the CSS process. For this attack, we propose a spectrum sensing strategy based on weighted combining of the hidden Markov model. The method uses the hidden Markov model to detect the probability of malicious attacks at each node and reports to the Fusion Center (FC), which evaluates the submitted observations and assigns reasonable weight to improve the accuracy of the sensing results. Simulation results show that the algorithm proposed has a higher detection probability and a lower false alarm probability than other algorithms, which can effectively resist spectrum sensing data falsification (SSDF) attacks in cognitive Internet of Things and improve the performance of IoT devices.

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Funding

This work was supported by the Excellent Middle-aged and Young Research and Innovation Team of Northeast Petroleum University Research on Performance Optimization of Oil and Gas Pipeline Internet of Things, China, No. KYCXTDQ201901. And, the work also is supported by National Natural Science Foundation of China, No. 61601111. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.

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Authors and Affiliations

  1. Northeast Petroleum University-Qinhuangdao, Qinhuangdao, 066004, China

    Liu Miao & Zhen-Xing Sun

  2. School of Physics and Electronic Engineering, Northeast Petroleum University, Daqing, 163318, China

    Xu Di & Zhuo-Miao Huo

  3. School of Computer Science and Engineering, Northeastern University, Shenyang, 110006, China

    Zhen-Xing Sun

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  1. Liu Miao
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  2. Xu Di
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  4. Zhen-Xing Sun
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Contributions

Liu Miao conceived and designed the study. Xu Di designed the study and performed experiments. Liu Miao and Xu Di wrote the paper. Zhuo-Miao Huo and Zhen-xing Sun edited the manuscript.

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Correspondence to Liu Miao.

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Miao, L., Di, X., Huo, ZM. et al. Research on spectrum sensing data falsification attack detection algorithm in cognitive Internet of Things. Telecommun Syst 80, 227–238 (2022). https://doi.org/10.1007/s11235-022-00896-0

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