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无线认知传感器网络协同频谱感知安全模型和攻击模型研究 被引量:1

Researches on the Operation Model and Security Model of Collaborative Spectrum Sensing in Wireless Cognitive Sensor Network (WCSN)
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摘要 无线认知传感器网络(WCSN)中的协同频谱感知技术能够大大提高检测主用户传输的概率。但是,在当前的协同频谱感知方案中,通常假定所有协同次用户都是诚信可靠的,因而恶意次用户可能会通过报告错误检测结果来攻击网络。本文分析了无线认知传感器网络(WCSN)的基本概念和优势,给出了无线认知传感器网络体系结构,提出了协同频谱感知安全模型和攻击模型,最后预测了今后的研究方向。 Collaborative spectrum sensing in Wireless Cognitive Sensor Network (WCSN) can significantly improve the probability of detecting the transmission of primary users. In current collaborative spectrum sensing schemes, all collaborative secondary users are assumed to be honest. As a consequence, the system is vulnerable to attacks in which malicious secondary users report false detection results. This paper addresses the definition and advantages of WCSN, presents the architecture of a WCSN, and proposes the security model and attack model of collaborative spectrum sensing in WCSN. In conclusion, we predict the future research directions in this field.
作者 郎为民
出处 《电信网技术》 2011年第3期25-28,共4页 Telecommunications Network Technology
基金 国家自然科学基金资助项目(60703099)
关键词 无线认知传感器网络(WCSN) 协同频谱感知 安全模型 攻击模型 Wireless Cognitive Sensor Network (WCSN) collaborative spectrum sensing security model attack model
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参考文献2

  • 1Ozgur B Akan, Osman B Karli, Ozgur Ergul. Cognitive Radio Sensor networks [J]. IEEE Network.2009.
  • 2Chung-Hsien Kuo, Ting-Shuo Chen. PN-WSNA: an Approach for Reconfigurable Cognitive Sensor Network Implementations [J]. IEEE Sensors Journal. 11,2011.

同被引文献5

  • 1Robert Caiming Qiu, Zhen Hu, Husheng Li, et al.认知无线电通信与组网:原理与应用[M].郎为民,译.北京:机械工业出版社,2013.
  • 2R. Urgaonkar and M.J. Neely. Opportunistic scheduling with reliability guarantees in cognitive radio networks [C]. Proceedings of the 27th Confer- ence on Computer Communications (Infocom'12), 2012, IEEE, pp. 1301-1309.
  • 3L. Tassiulas and A. Ephremides. Stability properties of constrained queueing systems and scheduling policies for maximum throughput in muhihop radio networks [J]. IEEE Transactions on Automatic Con- trol,2012, 47(12): 1936-1948.
  • 4M.J. Neely, E. Modiano, and C.E. Rohrs. Dynamic power allocation and routing for time-varying wireless networks [J]. IEEE Journal on Selected Areas in Communications, 2011, 31 (1): 89-103.
  • 5郎为民,杨德鹏,李虎生.无线认知传感器网络研究[J].数据通信,2012(1):16-19. 被引量:3

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