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Game‐based Secure Sensing for the Mobile Cognitive Radio Network

J. Bennaceur S. Souihi 1 H. Idoudi L. A. Saidani A Mellouk 1
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : © 2017 IEEE. Spectrum sensing security in cooperative cognitive radio networks with continuously mobile secondary users becomes a critical challenge. Thus, we propose a trust game-based model to ensure the spectrum detection while the mobility of the SUs is taken into account. Our proposal ensures both the attacks detection and the punishment of mobile malicious users launching the Spectrum Sensing Data Falsification (SSDF) attacks. Extensive simulations prove that the proposed model outperforms the AND-rule, OR-rule and Game-Based Secure Sensing (GSS) models in terms of correct decision probability, throughput and error probability with the random and linear mobility models and under four types of SSDF attacks.
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Contributor : Yacine Amirat <>
Submitted on : Friday, January 5, 2018 - 5:44:17 PM
Last modification on : Wednesday, July 8, 2020 - 7:30:04 AM


  • HAL Id : hal-01676572, version 1



J. Bennaceur, S. Souihi, H. Idoudi, L. A. Saidani, A Mellouk. Game‐based Secure Sensing for the Mobile Cognitive Radio Network. Proc. Of the IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC, 2017, Montreal, Canada. pp.1-6. ⟨hal-01676572⟩



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