W. K. Wang, H. S.Li, Y. Sun and Z. Han, “Attack-Proof Collaborative Spectrum Sensing in Cognitive Radio Networks,” IEEE Annual Conf. on Information Sciences and Systems, Baltimore, 18-20 March 2009, pp. 130-134.

has been cited by the following article:

• TITLE: A Two Step Secure Spectrum Sensing Algorithm Using Fuzzy Logic for Cognitive Radio Networks

  AUTHORS: Ehsan Moeen Taghavi, Bahman Abolhassani

  KEYWORDS: Cognitive Radio, Cooperative Spectrum Sensing, Energy Detection, Malicious User Detection, Pre-filtering, Fuzzy Logic

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.4 No.8, August 19, 2011

  ABSTRACT: In this paper, a two step secure spectrum sensing algorithm is proposed for cognitive radio networks. In this algorithm, the sensing results of secondary users are pre-filtered and applying fuzzy logic, so, the overall sensing performance of the network is improved. To determine pre-filter parameters, statistical parameters of the sensing results are used to remove those sensing results which are far from the majority sensing results. However, to obtain a better performance in the spectrum sensing, we propose a fuzzy logic to nullify the effects of malicious users who transmit false sensing data to the fusion center. We further propose a Fuzzy Trust Level for each user as to weight the sensing result of the corresponding user before combining all sensing results in the fusion center. Simulation results demonstrate that our proposed algorithm yield significant improvement in the performance of the spectrum sensing and identifying malicious users.