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

Author

Li, Husheng ; Han, Zhu

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA

Volume

10

Issue

1

fYear

2011

fDate

1/1/2011 12:00:00 AM

Firstpage

274

Lastpage

283

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.

Keywords

blind source separation; channel allocation; cognitive radio; radio spectrum management; random processes; statistical analysis; PUE; adversarial bandit problem; arbitrary channel statistics; attack policy; attack strategy; cognitive radio systems; coined blind dogfight; defense strategy; maximal interception attacks; performance bounds; primary user emulation attacks; selectively random attack; spectrum; uniformly random attack; unknown channel statistics; Availability; Cognitive radio; Data communication; Emulation; Jamming; Numerical simulation; Sensors; Cognitive radio; adversarial bandit algorithm; primary user emulation attack;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2010.112310.100630

Filename

5648777