J4 ›› 2014, Vol. 41 ›› Issue (3): 157-161.doi: 10.3969/j.issn.1001-2400.2014.03.023

• 研究论文 • 上一篇    下一篇

认知无线网络中收敛感知算法安全性检测

李红宁1,2;裴庆祺2;李子3
  

  1. (1. 西安电子科技大学 计算机学院,陕西 西安  710071;
    2. 西安电子科技大学 综合业务网理论及关键技术国家重点实验室,陕西 西安  710071;
    3. 西安电子科技大学 通信工程学院,陕西 西安  710071)
  • 收稿日期:2013-10-06 出版日期:2014-06-20 发布日期:2014-07-10
  • 通讯作者: 李红宁
  • 作者简介:李红宁(1984-),女,西安电子科技大学博士研究生,E-mail: lhn314@163.com.
  • 基金资助:

    国家自然科学基金资助项目(61172068,61373170);新世纪优秀人才支持计划资助项目(NCET-11-0691);中央高校基本科研业务费专项资金资助项目(K50511010003)

Security detection of the consensus-based spectrum sensing algorithm in cognitive networks

LI Hongning1,2;PEI Qingqi2;LI Zi3   

  1. (1. School of Computer Science and Technology, Xidian Univ., Xi'an  710071, China;
    2. State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an  710071, China;
    3. School of Telecommunication Engineering, Xidian Univ., Xi'an  710071, China)
  • Received:2013-10-06 Online:2014-06-20 Published:2014-07-10
  • Contact: LI Hongning

摘要:

分布式认知无线网络中,攻击者通过篡改本地频谱感知数据发起频谱感知数据篡改攻击,影响网络中其他节点的数据更新,导致频谱决策的错误.针对分布式认知无线网络中的收敛感知算法进行安全性检测.仿真数据表明,如果网络中存在攻击者在数据收敛后期开始发起频谱感知数据篡改攻击,将会诱使收敛感知算法最终收敛于攻击者提供的感知数据,使局部网络中所有认知用户对频谱感知数据做出错误的判断.最后,针对认知无线网络中频谱感知的特点,考虑影响感知数据更新的因素,给出了分布式认知无线网络中频谱感知的安全补充建议.

关键词: 认知无线网络, 频谱感知, 数据篡改, 收敛

Abstract:

Through altering local spectrum sensing data, attackers can launch spectrum sensing data falsification attack to affect the data updating process of other nodes, and lead to a wrong spectrum decision. For the consensus-based sensing algorithm, a security detection is implemented. Simulation shows that if there exists one attacker who can launch a spectrum sensing data falsification attack during the late stage of data convergence, others will be misled to converge sensing data to the value provided by the attacker. Therefore, all users in the local network will make a wrong decision. For the features of spectrum sensing in cognitive radio networks, considering the factors that can affect sensing data updating, some secure suggestions for spectrum sensing in distributed cognitive radio networks are introduced at the end of this paper.

Key words: cognitive radio networks, spectrum sensing, data falsification, convergence

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