Title | ||
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A Non-Parametric Statistical Approach for Malicious Users Detection in Cognitive Wireless Ad-Hoc Networks |
Abstract | ||
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In cognitive wireless ad-hoc networks the cooperative sensing achieves more accurate results than non-cooperative ones. However, it also exposes the network to attacks. In this paper an algorithm based on the non-parametric Kruskal-Wallis test is proposed to detect malicious users without having any a priori knowledge. The algorithm makes use of the existing statistical differences between the cooperative decision and the non-cooperative decisions. Once an attack of malicious users is detected, the Conover-Inman post-hoc method is used to discern between honest and malicious users. |
Year | DOI | Venue |
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2011 | 10.1109/icc.2011.5963004 | Communications |
Keywords | Field | DocType |
ad hoc networks,cognitive radio,cooperative communication,nonparametric statistics,statistical testing,telecommunication security,Conover-Inman post-hoc method,cognitive wireless ad hoc networks,cooperative decision,cooperative sensing,malicious user detection,noncooperative decision,nonparametric Kruskal-Wallis test,nonparametric statistical approach | Wireless,Computer science,A priori and a posteriori,Computer network,Nonparametric statistics,Wireless ad hoc network,Cognition,Wireless sensor network,Statistical hypothesis testing,Cognitive radio | Conference |
ISSN | ISBN | Citations |
1550-3607 E-ISBN : 978-1-61284-231-8 | 978-1-61284-231-8 | 16 |
PageRank | References | Authors |
0.79 | 8 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ferran Adelantado | 1 | 316 | 26.30 |
Christos V. Verikoukis | 2 | 1348 | 115.34 |