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An Improved Spectrum Sensing Data-Fusion Algorithm Based on Reputation

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The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 322))

Abstract

A false sensing information attack can cause the detection performance down for cognitive radio, for this problem, this paper presents an improved weighted sequential probability ratio test (WSPRT) algorithm by based on an accuracy combining effectively using the user data of small weight. The method enhances weight by recording the accordant times between the previous spectrum sensing report and the final spectrum sensing decision, at the same time, the malicious users are distributed smaller weights in order to use the sending data of malicious users. Simulation results show that the improved algorithm can be effectively resist spectrum sensing data falsification (SSDF) attacks by comparing with traditional WSPRT when there are more malicious users.

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Acknowledgments

Shubin Wang (wangsb09@gmail.com) is the correspondent author and this work was supported by the National Natural Science Foundation of China (61261020), and the Natural Science Foundation of Inner Mongolia, China (2012MS0903), and the Scientific Research Initial Fund for Higher Talents Program of Inner Mongolia University, China.

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Authors and Affiliations

  1. College of Electronic Information Engineering, Inner Mongolia University, Hohhot, China

    Hongyue Wang, Shubin Wang, Sarina Liu & Huiqin Liu

Authors
  1. Hongyue Wang
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  2. Shubin Wang
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  3. Sarina Liu
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  4. Huiqin Liu
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Corresponding author

Correspondence to Shubin Wang .

Editor information

Editors and Affiliations

  1. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, Tianjin, China

    Jiasong Mu

  2. University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  3. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, Tianjin, China

    Wei Wang

  4. Tianjin Normal University College of Physical and Electronic Infor, Tianjin, China

    Baoju Zhang

  5. University of Electronic Science and Tec School of Electronic Engineering, Chengdu, China

    Yiming Pi

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© 2015 Springer International Publishing Switzerland

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Wang, H., Wang, S., Liu, S., Liu, H. (2015). An Improved Spectrum Sensing Data-Fusion Algorithm Based on Reputation. In: Mu, J., Liang, Q., Wang, W., Zhang, B., Pi, Y. (eds) The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-08991-1_37

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  • DOI: https://doi.org/10.1007/978-3-319-08991-1_37

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08990-4

  • Online ISBN: 978-3-319-08991-1

  • eBook Packages: EngineeringEngineering (R0)

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