Research on a Trusted Collaborative Second Users Selection Strategy in Distributed Cognitive Radio Networks

doi:10.3969/j.issn.1671-1122.2018.10.006

Abstract

Abstract:

Collaborative spectrum sensing can effectively optimize the spectrum sensing results in the distributed cognitive radio networks (DCRN). However, the collaborative spectrum sensing also brings some security threats, especially the threats from the malicious collaborative second users’ attacks. To resolve the above problems, this paper proposes a trustworthy spectrum sensing collaborative second user selection strategy (RMCSS) based on integrated reputation mechanism and metagragh. The strategy combines the reputation evaluation results of second users with the metagraph theory, takes the reputation values as the main parameters to calculate the relationship between second users in the metagraph, establishes the trust relationship between different second users, and selects the trusted second users.Simulation experiments and results analysis show that the proposed strategy can effectively improve the credibility of the selected second users, thereby improving the ability to resist spectrum sensing data tampering attacks and channel detection rate.

Key words: distributed cognitive radio networks, collaborative spectrum sensing, metagraph, reputation mechanism, second user

CLC Number:

TP309

Xuli RAO, Hui LIN, Youliang TIAN, Li XU. Research on a Trusted Collaborative Second Users Selection Strategy in Distributed Cognitive Radio Networks[J]. Netinfo Security, 2018, 18(10): 37-44.

Figures/Tables 7

References 26

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参数	设置值
次用户总数	200
SSDF攻击者比例	0~60%
信誉值	0~1
协作频谱感知准确率	0~1
信誉值偏离度	0~1