Research Article
Research on Anti PUE Attack Based on CAF Spectrum and Repeated-Game
@INPROCEEDINGS{10.1007/978-3-319-78139-6_45, author={Hong Chang and Yong Li}, title={Research on Anti PUE Attack Based on CAF Spectrum and Repeated-Game}, proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2018}, month={4}, keywords={PUE attack Cross ambiguity function Repeated game Credit discipline mechanism Replicated dynamic equation}, doi={10.1007/978-3-319-78139-6_45} }- Hong Chang
Yong Li
Year: 2018
Research on Anti PUE Attack Based on CAF Spectrum and Repeated-Game
CHINACOM
Springer
DOI: 10.1007/978-3-319-78139-6_45
Abstract
High imitation of primary user (PU) signal, primary user emulation (PUE) signal is difficulty for discrimination. First, a method based on cross ambiguity function (CAF) is proposed for determining PUE signal. For PUE signal different from PU signal in spatial but same in frequency in one sensing slot, the algorithm with two dimension search is reduced to one dimension search, having no inter-modulation signal influence. Moreover, for defending PUE attack (PUEA), a repeated game between malicious user (MU) and secondary user (SU) is formulated. By introducing credit discipline mechanism, the optimal strategies for both players are investigated. The stability of the strategies is analyzed with replicated dynamic equation, which indicates that the strategies are the final choice no matter what initial strategies they choose. Simulation results demonstrate that the method is effective for discriminating and defending PUEA in terms of lower computation, higher detection probability and greater payoff.