• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Enhanced Reputation-based Fusion Mechanism for Secure Distributed Spectrum Sensing in Cognitive Radio Networks


Mi-Hui Kim, Hyun-Seung Choo, Journal of Internet Computing and Services, Vol. 11, No. 6, pp. 61-72, Dec. 2010
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Keywords: Secure Spectrum Sensing, Cognitive Radio Networks, Fusion Mechanism, Reputation

Abstract

Spectrum scarcity problem and increasing spectrum demand for new wireless applications have embossed the importance of cognitive radio technology; the technology enables the sharing of channels among secondary (unlicensed) and primary (licensed) users on a non-interference basis after sensing the vacant channel. To enhance the accuracy of sensing, distributed spectrum sensing is proposed. However, it is necessary to provide the robustness against the compromised sensing nodes in the distributed spectrum sensing. RDSS, a fusion mechanism based on the reputation of sensing nodes and WSPRT (weighted sequential probability ratio test), was proposed. However, in RDSS, the execution number of WSPRT could increase according to the order of inputted sensing values, and the fast defense against the forged values is difficult. In this paper, we propose an enhanced fusion mechanism to input the sensing values in reputation order and exclude the sensing values with the high possibility to be compromised, using the trend of reputation variation. We evaluate our mechanism through simulation. The results show that our mechanism improves the robustness against attack with the smaller number of sensing values and more accurate detection ratio than RDSS.


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Cite this article
[APA Style]
Kim, M. & Choo, H. (2010). Enhanced Reputation-based Fusion Mechanism for Secure Distributed Spectrum Sensing in Cognitive Radio Networks. Journal of Internet Computing and Services, 11(6), 61-72.

[IEEE Style]
M. Kim and H. Choo, "Enhanced Reputation-based Fusion Mechanism for Secure Distributed Spectrum Sensing in Cognitive Radio Networks," Journal of Internet Computing and Services, vol. 11, no. 6, pp. 61-72, 2010.

[ACM Style]
Mi-Hui Kim and Hyun-Seung Choo. 2010. Enhanced Reputation-based Fusion Mechanism for Secure Distributed Spectrum Sensing in Cognitive Radio Networks. Journal of Internet Computing and Services, 11, 6, (2010), 61-72.