Title
A statistical detection mechanism for node misbehaviours in wireless mesh networks
Abstract
AbstractWireless mesh networks (WMNs) have become an increasingly popular wireless networking technology for establishing the last-mile connectivity for home and neighbourhood networkings. In such networks, packet dropping may be due to either an attack, or normal loss events such as bad channel quality. Furthermore, in the route discovery phase, path stability is not always considered. We consider a special case of denial of service (DoS) attack in WMNs known as the greyhole attack. In this attack, a node selectively drops some packets which it has to forward along the path. To mitigate this attack, we propose a dropping detection mechanism allowing a mobile node to select a most reliable route to the destination. Our detection module detects misbehaving nodes by comparing the observed packet loss distribution of nodes to the expected ones when they are well-behaved. We validate the proposed approach via extensive simulations through R software and Matlab.
Year
DOI
Venue
2019
10.1504/ijahuc.2019.099637
Periodicals
Keywords
DocType
Volume
attack, DoS, denial of service, performance, WMN, wireless mesh networks, security
Journal
31
Issue
ISSN
Citations 
1
1743-8225
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Rida Khatoun112217.66
Begriche, Youcef Begriche2133.75
Lyes Khoukhi330444.30