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Secured Soft Combination Schemes Against Malicious-Users in Cooperative Spectrum Sensing

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Abstract

A critical problem with Cooperative Spectrum Sensing in Cognitive Radio Network is the presence of Malicious Users (MUs) reporting false information to the Fusion Centre (FC) about the Primary User (PU) spectrum availability. This paper outline different techniques to mitigate the damaging effects of the false sensing in Soft Decision Fusion (SDF) schemes using One-to-Many Sensing-Distances and Z-Score. FC employs these schemes to separate the sensing information received from MUs and Secondary Users and feed the results to the Hampel’s test for MUs detection. After segregating all potential MUs FC takes a final decision about the availability of PU spectrum using the proposed SDF schemes. The suggested scheme is tested in an environment of opposite, random opposite, always yes and always no types of MUs. Simulation results demonstrate the superiority of the proposed scheme, which surpass the existing SDF schemes in reliability, precision and efficiency.

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Acknowledgements

The authors thank Mr. Fazal Elahi (Late) for his continuous support and assistance during this research.

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Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Engineering and Technology, International Islamic University, Islamabad, 44000, Pakistan

    Noor Gul, Aqdas Naveed & Atif Elahi

  2. Department of Electrical Engineering, Air University, Islamabad, 44000, Pakistan

    Ijaz Mansoor Qureshi

  3. Department of Electronics, University of Peshawar, Peshawar, 25120, Pakistan

    Noor Gul & Imtiaz Rasool

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  1. Noor Gul
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Correspondence to Noor Gul.

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Gul, N., Qureshi, I.M., Naveed, A. et al. Secured Soft Combination Schemes Against Malicious-Users in Cooperative Spectrum Sensing. Wireless Pers Commun 108, 389–408 (2019). https://doi.org/10.1007/s11277-019-06408-9

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