Historical Sensing Data Mining in Cognitive Radio Networks

2014 ◽  
pp. 549-557 ◽  
Author(s):  
Xin-Lin Huang ◽  
Yuan Xu ◽  
Erwu Liu
Keyword(s):  
Data Mining ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Sensing Data

Probabilistic spectrum sensing data falsification attack in cognitive radio networks

2017 ◽  
Vol 137 ◽  
pp. 1-9 ◽  
Author(s):  
Arash Ahmadfard ◽  
Ali Jamshidi ◽  
Alireza Keshavarz-Haddad
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Sensing Data

A SSDF-Attack-Exclusion Cooperative Spectrum Sensing Scheme in Cognitive Radio Networks

2014 ◽  
Vol 556-562 ◽  
pp. 5219-5222
Author(s):  
Wei Wu ◽  
Xiao Fei Zhang ◽  
Xiao Ming Chen
Keyword(s):  
Cognitive Radio ◽  
Utility Function ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Radio Networks ◽  
Fusion Center ◽  
Sensing Data ◽  
Single User ◽  
Simulation Results

Compared with the single user spectrum sensing, cooperative spectrum sensing is a promising way to improve the detection precision. However, cooperative spectrum sensing is vulnerable to a variety of attacks, such as the spectrum sensing data falsification attack (SSDF attack). In this paper, we propose a concise cooperative spectrum sensing scheme based on a reliability threshold. We analyze the utility function of SSDF attacker in this scheme, and present the least reliability threshold for the fusion center against SSDF attack. Simulation results show that compared with the traditional cooperative spectrum sensing scheme, the SSDF attacker has a much lower utility in our proposed scheme, which drives it not to attack any more.

Mitigation of the spectrum sensing data falsifying attack in cognitive radio networks

2020 ◽  
pp. 1-20
Author(s):  
Rajorshi Biswas ◽  
Jie Wu ◽  
Xiaojiang Du ◽  
Yaling Yang
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Sensing Data

Defense Against Spectrum Sensing Data Falsification Attacker in Cognitive Radio Networks

2020 ◽  
Vol 112 (2) ◽  
pp. 849-862
Author(s):  
Kuldeep Yadav ◽  
Sanjay Dhar Roy ◽  
Sumit Kundu
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Sensing Data

Improving Transmission Availability for Wireless Cognitive Networks: SkyChannel Query Processing

2011 ◽  
Vol 121-126 ◽  
pp. 3977-3981
Author(s):  
Li Xia Liu ◽  
Gang Hu ◽  
Zhen Huang ◽  
Yu Xing Peng
Keyword(s):  
Cognitive Radio ◽  
Query Processing ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Cognitive Networks ◽  
Experimental Results ◽  
Network Resource ◽  
Power Resource ◽  
Sensing Data ◽  
Cost Efficient

In wireless cognitive radio networks (CRNs), user will send the sensing data to neighbors for spectrum allocation. Actually only part of data will affect the allocation result. The transmission of unused sensing data isn’t cost-efficient because it consumes a great deal of computing and network resource, especially for CRNs in which the spectrum and power resource is very precious. We propose an improving transmission availability algorithm— SkyChannel Query, which can find the non dominated channels and only transmit information of these channels. The experimental results show the advantages of our algorithm in terms of saving computing resource and improving transmission availability.

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