Dogfight in spectrum: Combating primary user emulation attacks in cognitive radio systems - Part II: Unknown channel statistics

Husheng Li; Zhu Han

doi:10.1109/TWC.2010.112310.100630

Dogfight in spectrum: Combating primary user emulation attacks in cognitive radio systems - Part II: Unknown channel statistics

Husheng Li
, Zhu Han

Research output: Contribution to journal › Article › peer-review

67 Citations (Scopus)

Abstract

The defense against the Primary User Emulation Attack (PUE) is studied in the scenario of unknown channel statistics (coined blind dogfight in spectrum). The algorithm of the adversarial bandit problem is adapted to the context of blind dogfight. Both cases of complete and partial information about the rewards of different channels are analyzed. Performance bounds are obtained subject to arbitrary channel statistics and attack policy. Several attack strategies, namely uniformly random, selectively random and maximal interception attacks, are discussed. The validity of the defense strategy is then demonstrated by numerical simulation results.

Original language	English
Article number	5648777
Pages (from-to)	274-283
Number of pages	10
Journal	IEEE Transactions on Wireless Communications
Volume	10
Issue number	1
DOIs	https://doi.org/10.1109/TWC.2010.112310.100630
Publication status	Published - Jan 2011

Bibliographical note

Funding Information:
Manuscript received April 17, 2010; revised August 23, 2010; accepted November 2, 2010. The associate editor coordinating the review of this paper and approving it for publication was C.-F. Chiasserini. H. Li is with the Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN, 37996 (e-mail: [email protected]). Z. Han is with the Department of Electrical and Computer Engineering, University of Houston, Houston, TX, 77004. This work was supported by the National Science Foundation under grants CNS-0910461, CNS-095377, CNS-090556, CCF-0830451, ECCS-0901425 and, ECCS-1028782. Digital Object Identifier 10.1109/TWC.2010.112310.100630

Keywords

Cognitive radio
adversarial bandit algorithm
primary user emulation attack

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10.1109/TWC.2010.112310.100630

Cite this

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abstract = "The defense against the Primary User Emulation Attack (PUE) is studied in the scenario of unknown channel statistics (coined blind dogfight in spectrum). The algorithm of the adversarial bandit problem is adapted to the context of blind dogfight. Both cases of complete and partial information about the rewards of different channels are analyzed. Performance bounds are obtained subject to arbitrary channel statistics and attack policy. Several attack strategies, namely uniformly random, selectively random and maximal interception attacks, are discussed. The validity of the defense strategy is then demonstrated by numerical simulation results.",

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year = "2011",

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Dogfight in spectrum: Combating primary user emulation attacks in cognitive radio systems - Part II: Unknown channel statistics

Abstract

Bibliographical note

Keywords

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