International Journal of Computational Intelligence Systems

Volume 5, Issue 5, September 2012, Pages 878 - 886

Watch-Nodes-Based Wormhole Attacks Detection in Wireless Mesh Networks

Authors
Liang-yu Luan, Ying-fang Fu, Peng Xiao, Ling-xi Peng
Corresponding Author
Ying-fang Fu
Received 30 November 2011, Accepted 15 June 2012, Available Online 1 September 2012.
DOI
10.1080/18756891.2012.733220How to use a DOI?
Keywords
Wormhole Attack, Routing Protocol, Wireless Mesh Network, Distributed Voting, Identity-based Cryptosystem
Abstract

Wormhole attacks, as a devastating type of threats in wireless mesh networks, have received much attention in recent years. This paper proposes a type of wormhole attack model and its corresponding detection scheme. In this scheme, the combination of a number of techniques, such as distributed voting, watch-nodes-based detection and identity-based cryptosystem are used. The simulation results and qualitative analysis demonstrate the performance and cost of the proposed scheme are more advantageous over the some of the previous schemes.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Journal
International Journal of Computational Intelligence Systems
Volume-Issue
5 - 5
Pages
878 - 886
Publication Date
2012/09/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2012.733220How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Liang-yu Luan
AU  - Ying-fang Fu
AU  - Peng Xiao
AU  - Ling-xi Peng
PY  - 2012
DA  - 2012/09/01
TI  - Watch-Nodes-Based Wormhole Attacks Detection in Wireless Mesh Networks
JO  - International Journal of Computational Intelligence Systems
SP  - 878
EP  - 886
VL  - 5
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.733220
DO  - 10.1080/18756891.2012.733220
ID  - Luan2012
ER  -