Paper Info
Title
Detection of malicious users in cognitive radio ad hoc networks: A non-parametric statistical approach
Abstract
Cognitive radio ad hoc networks (CRAHN) operation is based on the reliability of the spectrum sensing. It has been proved that cooperation between secondary users improves the accuracy of the sensing information gathered by the users. However, such cooperation also increases the vulnerability of the network and its exposure to attacks. The paper presents a novel algorithm based on the non-parametric Kruskal-Wallis and Conover-Inman tests to detect and identify the attack of malicious users at the MAC layer. The algorithm, denoted by KWD, does not assume a priori knowledge neither of the activity of the primary channel nor of the existence and the behavior of malicious users.
Year
DOI
Venue
2013
10.1016/j.adhoc.2013.06.002
Ad Hoc Networks
Keywords
Field
DocType
Cognitive radio ad hoc network,MAC layer security,Malicious user detection,Kruskal–Wallis test
Primary channel,Computer science,A priori and a posteriori,Computer network,Nonparametric statistics,Cognitive radio ad hoc networks,Vehicular ad hoc network,Distributed computing,Vulnerability
Journal
Volume
Issue
ISSN
11
8
1570-8705
Citations 
PageRank 
References 
10
0.55
20
Authors
2
Name
Order
Citations
PageRank
Ferran Adelantado131626.30
christos verikoukis228123.75