Title
A Non-Parametric Statistical Approach for Malicious Users Detection in Cognitive Wireless Ad-Hoc Networks
Abstract
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
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 Adelantado131626.30
Christos V. Verikoukis21348115.34