Cooperative Spectrum Sensing Algorithm against Spectrum Sensing Data Falsification Based on Dempster-Shafer Evidence Theory

doi:10.3969/j.issn.1000-1093.2017.12.014

Abstract

Abstract: The malicious users forge and get command of the secondary users, which causes the spectrum sensing data falsification (SSDF) to decrease the performance of existing cooperative spectrum sensing algorithm. A cooperative spectrum sensing algorithm against SSDF is proposed. The SSDF attack is divided into Class Ⅰ and Ⅱ. User weight and decision threshold are set to distinguish the malicious users of Class Ⅰ and Ⅱ malicious users, and trusted secondary users by using Dempster-Shafer (D-S) evidence theory. Only trusted spectrum detection data can be used in information fusion to judge the spectrum usage and improve the detection performance. Theoretical analysis and simulated results show that the proposed algorithm can effectively confront SSDF attack interference, and its judgment performance is superior to that of existing D-S evidence fusion spectrum sensing algorithm. Key

Key words: ordnancescienceandtechnology, Dempster-Shaferevidencetheory, spectrumsensing, datafalsification, informationfusion

CLC Number:

TN925⁺.92

MIAO Cheng-lin, LI Tong, LYU Jun， LI Hao. Cooperative Spectrum Sensing Algorithm against Spectrum Sensing Data Falsification Based on Dempster-Shafer Evidence Theory[J]. Acta Armamentarii, 2017, 38(12): 2406-2413.

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第38卷第12期
2017 年12月兵工学报ACTA
ARMAMENTARIIVol.38No.12Dec.2017

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