The Open UniversitySkip to content
 

A new MANET wormhole detection algorithm based on traversal time and hop count analysis

Karlsson, Jonny; Dooley, Laurence S. and Pulkkis, Göran (2011). A new MANET wormhole detection algorithm based on traversal time and hop count analysis. Sensors, 11(12) pp. 11122–11140.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (517Kb)
URL: http://www.mdpi.com/journal/sensors
DOI (Digital Object Identifier) Link: http://dx.doi.org/10.3390/s111211122
Google Scholar: Look up in Google Scholar

Abstract

As demand increases for ubiquitous network facilities, infrastructure-less and self-configuring systems like Mobile Ad hoc Networks (MANET) are gaining popularity. MANET routing security however, is one of the most significant challenges to wide scale adoption, with wormhole attacks being an especially severe MANET routing threat. This is because wormholes are able to disrupt a major component of network traffic, while concomitantly being extremely difficult to detect. This paper introduces a new wormhole detection paradigm based upon Traversal Time and Hop Count Analysis (TTHCA), which in comparison to existing algorithms, consistently affords superior detection performance, allied with low false positive rates for all wormhole variants. Simulation results confirm that the TTHCA model exhibits robust wormhole route detection in various network scenarios, while incurring only a small network overhead. This feature makes TTHCA an attractive choice for MANET environments which generally comprise devices, such as wireless sensors, which possess a limited processing capability.

Item Type: Journal Article
Copyright Holders: 2011 The Authors
ISSN: 1424-8220
Keywords: mobile networks; MANET; MANET security; routing security; wormhole attack; hop count; traversal time; WAP; DelPHI; MHA
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 30226
Depositing User: Laurence Dooley
Date Deposited: 07 Dec 2011 13:31
Last Modified: 05 Dec 2012 15:24
URI: http://oro.open.ac.uk/id/eprint/30226
Share this page:

Altmetrics

Scopus Citations

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk