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Addressing the Effects of the Spectrum Sensing Data Falsification Attack Using the Enhanced Q-out-of-m Rule

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Proceedings of Sixth International Congress on Information and Communication Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 235))

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Abstract

The spectrum sensing data falsification (SSDF) attack modifies the energy values received from the primary users (PUs). During cooperative spectrum sensing (CSS), it reports the incorrect data to its neighbouring secondary users (SUs). CSS is conducted by SUs which perform local sensing and then share observed data to achieve distributed global sensing. In this study, the effects of SSDF in cognitive radio ad hoc network (CRAHN) are evaluated. The enhanced q-out-of-m rule scheme is proposed to address the effects of SSDF in CRAHN. The proposed scheme was evaluated in MATLAB and the simulation results show that it outperformed the DBSD scheme.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Limpopo, Limpopo, South Africa

    Velempini Mthulisi, Ngomane Issah & Mapunya Sekgoari Semaka

Authors
  1. Velempini Mthulisi
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  2. Ngomane Issah
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  3. Mapunya Sekgoari Semaka
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Corresponding author

Correspondence to Velempini Mthulisi .

Editor information

Editors and Affiliations

  1. Middlesex University, London, UK

    Xin-She Yang

  2. University of Reading, Reading, UK

    Simon Sherratt

  3. JIS University, Kolkata, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Mthulisi, V., Issah, N., Semaka, M.S. (2022). Addressing the Effects of the Spectrum Sensing Data Falsification Attack Using the Enhanced Q-out-of-m Rule. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_55

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