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

被引：52
|
作者：
Li, Husheng [1 ]
Han, Zhu [2 ]
机构：
[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
[2] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA
来源：
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2011年 / 10卷 / 01期
基金：
美国国家科学基金会;
关键词：
Cognitive radio; primary user emulation attack; adversarial bandit algorithm;
D O I：
10.1109/TWC.2010.112310.100630
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：274 / 283
页数：10
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