• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Supporting Trusted Soft Decision Scheme Using Volatility Decay in Cooperative Spectrum Sensing

Vol. 10, No.5, May 31, 2016
10.3837/tiis.2016.05.007, Download Paper (Free):

Abstract

Cooperative spectrum sensing (CSS) for vacant licensed bands is one of the key techniques in cognitive radio networks. Currently, sequential probability ratio test scheme (SPRT) is considered as a powerful soft decision approach to improve the sensing result for CSS. However, SPRT assumes all secondary users (SU) are honest, and thus offering opportunities for malicious SUs to launch the spectrum sensing data falsification attack (SSDF attack). To combat such misbehaved behaviors, recent efforts have been made to trust mechanism. In this paper, we argue that powering SPRT with traditional trust mechanism is not enough. Dynamic SSDF attackers can maintain high trust in an alternant process of submitting honest or false sensing data, resulting in difficultly detecting them. Noting that the trust value of dymamic SSDF attackers behave highly volatile, a novel trusted SPRT scheme (VSPRT) based on volatility decay analysis is proposed in this paper to mitigate the harmful effect of dynamic SSDF attackers in the process of the soft-decision data fusion, and thus improving the accuracy of the final sensing result. Simulation results show that the VSPRT scheme outperforms the conventional SPRT schemes.


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Cite this article

[IEEE Style]
Feng Zhao and Jingyu Feng, "Supporting Trusted Soft Decision Scheme Using Volatility Decay in Cooperative Spectrum Sensing," KSII Transactions on Internet and Information Systems, vol. 10, no. 5, pp. 2067-2080, 2016. DOI: 10.3837/tiis.2016.05.007

[ACM Style]
Zhao, F. and Feng, J. 2016. Supporting Trusted Soft Decision Scheme Using Volatility Decay in Cooperative Spectrum Sensing. KSII Transactions on Internet and Information Systems, 10, 5, (2016), 2067-2080. DOI: 10.3837/tiis.2016.05.007