Secure centralized spectrum sensing for cognitive radio networks

  • Authors:
  • Chi-Yuan Chen;Yao-Hsin Chou;Han-Chieh Chao;Chi-Hsiang Lo

  • Affiliations:
  • Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chi Nan University, Nantou, Taiwan, ROC;Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan, ROC and Department of Electronic Engineering and Institute of Computer Science and Information Engineering, Nat ...;Department of Electronic Engineering and Institute of Computer Science and Information Engineering, National Ilan University, Ilan, Taiwan, ROC

  • Venue:
  • Wireless Networks
  • Year:
  • 2012

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Abstract

Spectrum utilization becomes more and more important while new communication techniques keep increasing and the spectrum bands remain finite. Cognitive radio is a revolutionary technology to make use of the spectrum more effectively. In order to avoid the interference to the primary user, spectrum sensing must be sensitive and reliable. Cooperative spectrum sensing (CSS) is one of the ways to increase the reliability of spectrum sensing. The information fusion technique is a key component of CSS. In this paper, we proposed a novel fusion scheme based on spatial correlation technique. We utilize geographical information with reputational weights to propose a two-level fusion scheme called secure centralized spectrum sensing (SCSS). The simulation results show that as the attackers present high density aggregation at some areas, the correct sensing ratio of SCSS is increasing as well even when the number of attackers is very large.