Dogfight in Spectrum: Combating Primary User Emulation Attacks in Cognitive Radio Systems-Part II: Unknown Channel Statistics

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...

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Published inIEEE transactions on wireless communications Vol. 10; no. 1; pp. 274 - 283
Main Authors Li, Husheng, Han, Zhu
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.01.2011
Institute of Electrical and Electronics Engineers
Subjects
adversarial bandit algorithm
Applied sciences
Availability
Cognitive radio
Data communication
Emulation
Exact sciences and technology
Jamming
Numerical simulation
primary user emulation attack
Radiocommunication specific techniques
Radiocommunications
Sensors
Telecommunications
Telecommunications and information theory
Performance evaluation
Numerical simulation
primary user emulation attack
Interception
adversarial bandit algorithm
Cognitive radio
Algorithm
Cognitive system
Software radio
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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.
AbstractList 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.
Author Husheng Li
Zhu Han
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Keywords Performance evaluation
Numerical simulation
primary user emulation attack
Interception
adversarial bandit algorithm
Cognitive radio
Algorithm
Cognitive system
Software radio
Language English
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StartPage 274
SubjectTerms adversarial bandit algorithm
Applied sciences
Availability
Cognitive radio
Data communication
Emulation
Exact sciences and technology
Jamming
Numerical simulation
primary user emulation attack
Radiocommunication specific techniques
Radiocommunications
Sensors
Telecommunications
Telecommunications and information theory
Title Dogfight in Spectrum: Combating Primary User Emulation Attacks in Cognitive Radio Systems-Part II: Unknown Channel Statistics
URI https://ieeexplore.ieee.org/document/5648777
Volume 10
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