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Identifying Time Measurement Tampering in the Traversal Time and Hop Count Analysis (TTHCA) Wormhole Detection Algorithm
Traversal time and hop count analysis (TTHCA) is a recent wormhole detection algorithm for mobile ad hoc networks (MANET) which provides enhanced detection performance against all wormhole attack variants and network types. TTHCA involves each node measuring the processing time of routing packets du...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690074/ https://www.ncbi.nlm.nih.gov/pubmed/23686143 http://dx.doi.org/10.3390/s130506651 |
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author | Karlsson, Jonny Dooley, Laurence S. Pulkkis, Göran |
author_facet | Karlsson, Jonny Dooley, Laurence S. Pulkkis, Göran |
author_sort | Karlsson, Jonny |
collection | PubMed |
description | Traversal time and hop count analysis (TTHCA) is a recent wormhole detection algorithm for mobile ad hoc networks (MANET) which provides enhanced detection performance against all wormhole attack variants and network types. TTHCA involves each node measuring the processing time of routing packets during the route discovery process and then delivering the measurements to the source node. In a participation mode (PM) wormhole where malicious nodes appear in the routing tables as legitimate nodes, the time measurements can potentially be altered so preventing TTHCA from successfully detecting the wormhole. This paper analyses the prevailing conditions for time tampering attacks to succeed for PM wormholes, before introducing an extension to the TTHCA detection algorithm called ΔT Vector which is designed to identify time tampering, while preserving low false positive rates. Simulation results confirm that the ΔT Vector extension is able to effectively detect time tampering attacks, thereby providing an important security enhancement to the TTHCA algorithm. |
format | Online Article Text |
id | pubmed-3690074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36900742013-07-09 Identifying Time Measurement Tampering in the Traversal Time and Hop Count Analysis (TTHCA) Wormhole Detection Algorithm Karlsson, Jonny Dooley, Laurence S. Pulkkis, Göran Sensors (Basel) Article Traversal time and hop count analysis (TTHCA) is a recent wormhole detection algorithm for mobile ad hoc networks (MANET) which provides enhanced detection performance against all wormhole attack variants and network types. TTHCA involves each node measuring the processing time of routing packets during the route discovery process and then delivering the measurements to the source node. In a participation mode (PM) wormhole where malicious nodes appear in the routing tables as legitimate nodes, the time measurements can potentially be altered so preventing TTHCA from successfully detecting the wormhole. This paper analyses the prevailing conditions for time tampering attacks to succeed for PM wormholes, before introducing an extension to the TTHCA detection algorithm called ΔT Vector which is designed to identify time tampering, while preserving low false positive rates. Simulation results confirm that the ΔT Vector extension is able to effectively detect time tampering attacks, thereby providing an important security enhancement to the TTHCA algorithm. Molecular Diversity Preservation International (MDPI) 2013-05-17 /pmc/articles/PMC3690074/ /pubmed/23686143 http://dx.doi.org/10.3390/s130506651 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Article Karlsson, Jonny Dooley, Laurence S. Pulkkis, Göran Identifying Time Measurement Tampering in the Traversal Time and Hop Count Analysis (TTHCA) Wormhole Detection Algorithm |
title | Identifying Time Measurement Tampering in the Traversal Time and Hop Count Analysis (TTHCA) Wormhole Detection Algorithm |
title_full | Identifying Time Measurement Tampering in the Traversal Time and Hop Count Analysis (TTHCA) Wormhole Detection Algorithm |
title_fullStr | Identifying Time Measurement Tampering in the Traversal Time and Hop Count Analysis (TTHCA) Wormhole Detection Algorithm |
title_full_unstemmed | Identifying Time Measurement Tampering in the Traversal Time and Hop Count Analysis (TTHCA) Wormhole Detection Algorithm |
title_short | Identifying Time Measurement Tampering in the Traversal Time and Hop Count Analysis (TTHCA) Wormhole Detection Algorithm |
title_sort | identifying time measurement tampering in the traversal time and hop count analysis (tthca) wormhole detection algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690074/ https://www.ncbi.nlm.nih.gov/pubmed/23686143 http://dx.doi.org/10.3390/s130506651 |
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