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

• Original Articles • Previous Articles     Next Articles

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 E-mail:lhn314@163.com

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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