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Reliable cooperative sensing in cognitive networks (invited paper)

Abdelhakim, M and Ren, J and Li, T (2012) Reliable cooperative sensing in cognitive networks (invited paper). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7405 L. 206 - 217. ISSN 0302-9743

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In this paper, we consider reliable cooperative spectrum sensing in cognitive networks under the Spectrum Sensing Data Falsification (SSDF) attacks. One effective method to mitigate the SSDF attacks is the q-out-of-m fusion scheme, where the final decision is based on q sensing reports from m polled users. In this paper, first, we derive the asymptotic behavior of the fusion scheme as the network size increases. It is found that the false alarm rate decreases exponentially as the network size increases, even if the percentage of malicious users remains fixed. Second, we propose an iterative approach to obtain the best scheme parameters that minimizes the false alarm rate and enforces the miss detection constraint. Third, we discuss different attack scenarios and propose a malicious user detection method to further improve the performance. It is shown that by exploiting the malicious user detection scheme, the system performance is improved significantly under various attacks. © 2012 Springer-Verlag.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Abdelhakim, MMAIA@pitt.eduMAIA0000-0001-8442-0974
Ren, J
Li, T
Date: 4 September 2012
Date Type: Publication
Journal or Publication Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 7405 L
Page Range: 206 - 217
DOI or Unique Handle: 10.1007/978-3-642-31869-6_18
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISSN: 0302-9743
Date Deposited: 30 Jun 2017 13:45
Last Modified: 14 Sep 2022 10:55


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