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Malicious Users Detection and Nullifying their Effects on Cooperative Spectrum Sensing
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 Title & Authors
Malicious Users Detection and Nullifying their Effects on Cooperative Spectrum Sensing
Prasain, Prakash; Choi, Dong-You;
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 Abstract
Spectrum sensing in cognitive radio (CR) has a great role in order to utilize idle spectrum opportunistically, since it is responsible for making available dynamic spectrum access efficiently. In this research area, collaboration among multiple cognitive radio users has been proposed for the betterment of detection reliability. Even though cooperation among them improves the spectrum sensing performance, some falsely reporting malicious users may degrade the performance rigorously. In this article, we have studied the detection and nullifying the harmful effects of such malicious users by applying some well known outlier detection methods based on Grubb`s test, Boxplot method and Dixon`s test in cooperative spectrum sensing. Initially, the performance of each technique is compared and found that Boxplot method outperforms both Grubb`s and Dixon`s test for the case where multiple malicious users are present. Secondly, a new algorithm based on reputation and weight is developed to identify malicious users and cancel out their negative impact in final decision making. Simulation results demonstrate that the proposed scheme effectively identifies the malicious users and suppress their harmful effects at the fusion center to decide whether the spectrum is idle.
 Keywords
Cognitve Radio;Energy Detection;Cooperative Spectrum Sensing;
 Language
English
 Cited by
 References
1.
Akyildiz, I.F., F.L. Brandon, and B. Ravikumar, "Cooperative Spectrum Sensing in Cognitive Radio Networks : A Survey", Physical Communication, Vol.4, No.1, 2011, 40-62. crossref(new window)

2.
Barnett, V. and T. Lewis, Outliers in Statistical Data, 3rd Edition : John Wiley and Sons, 1994.

3.
FCC, "Spectrum Policy Task Force report ET Docket", 2002.

4.
Ghasemi, A. and E. Sousa, "Collaborative Spectrum Sensing for Opportunistic Access in Fading Environments", First IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005, 131-136.

5.
Kim, J.W., J.Y. Yoon, C.M. Yang, S.B. Lee, and D.S. Eom, "A Study of Distributed Channel Assignment Algorithm Based on Traffic-Awareness in the Wireless Mesh Network", Journal of Information Technology Services, Vol.11, No.2, 2012, 291-306.

6.
Lee, J.Y. J.I. Han, and Y.M. Kim, "A Study on Energy Savings in a Network Interface Card Based on Optimization of Interrupt Coalescing", Journal of Information Technology Services, Vol.14, No.3, 2015, 183-196.

7.
Mishra, S., A. Sahai, and R. Brodersen, "Cooperative Sensing Among Cognitive Radios, in IEEE International Conference on Communications, 2006, 1658-1663.

8.
Mitolla, J. and G.Q. MaGuire, "Cognitive Radio, Making Software Radios More Personal", IEEE Personal Communications, Vol.6, No. 4, 1999, 13-18. crossref(new window)

9.
Prakash, P. and D.Y. Choi, "Nullifying Malicious Users for Cooperative Spectrum Sensing in Cognitive Radio Networks", UCAWSN-14, Vol.331, 2014, 123-131.

10.
Praveen K., K. Majid, and K.B. Vijay, "Malicious User Detection in a Cognitive Radio Cooperative Sensing", IEEE Transaction on Wireless Communicaitons, Vol.9, No.8, 2010, 2488-2497. crossref(new window)

11.
Ruiliang, C., J.M. Park, and K. Bian, "Robust Distributed Spectrum Sensing in Cognitive Radio Networks", The 27th Conference on Computer Communications, 2008.

12.
Sahai, A., N. Hoven, and R. Tandra, "Some Fundamental Limits on Cognitive Radio", Wireless Foundations EECS, Univ. of California, Berkeley, 2004.

13.
Stevenson, C., G. Chouinard, Z. Lei, W. Hu, S. Shellhammer, and W. Caldwell, "IEEE 802. 22: The First Cognitive Radio Wireless Regional Area Networks (WRANs) Standards", IEEE Communications Magazine, Vol.47, No.1, 2009, 130-138. crossref(new window)

14.
Visotsky, E., S. Kuffner, and R. Peterson, "On Collaborative Detection of TV Transmissions in Support of Dynamic Spectrum Sharing", First IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005, 338-345.