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Cooperative sensing in cognitive networks under malicious attack

Abdelhakim, M and Zhang, L and Ren, J and Li, T (2011) Cooperative sensing in cognitive networks under malicious attack. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 3004 - 3007. ISSN 1520-6149

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This paper considers cooperative sensing in cognitive networks under Spectrum Sensing Data Falsification attack (SSDF) in which malicious users can intentionally send false sensing information. One effective method to deal with the SSDF attack is the q-out-of-m scheme, where the sensing decision is based on q sensing reports out of m polled nodes. The major limitation with the q-out-of-m scheme is its high computational complexity due to exhaustive search. In this paper, we prove that for a fixed percentage of malicious users, the detection accuracy increases almost exponentially as the network size increases. Motivated by this observation, as well as the linear relationship between the scheme parameters and the network size, we propose a simple but accurate approach that significantly reduces the complexity of the q-out-of-m scheme. The proposed approach can easily be applied to the large scale networks, which can be much more reliable under malicious attacks. © 2011 IEEE.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Abdelhakim, MMAIA@pitt.eduMAIA0000-0001-8442-0974
Zhang, L
Ren, J
Li, T
Date: 18 August 2011
Date Type: Publication
Journal or Publication Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Page Range: 3004 - 3007
DOI or Unique Handle: 10.1109/icassp.2011.5946290
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISSN: 1520-6149
Date Deposited: 30 Jun 2017 13:47
Last Modified: 09 Aug 2019 16:55


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