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Sensors 2011, 11(12), 11122-11140; doi:10.3390/s111211122

A New MANET Wormhole Detection Algorithm Based on Traversal Time and Hop Count Analysis

1
Department of Communication and Systems, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK
2
Department of Business, Information Technology and Media, Arcada University of Applied Sciences, Jan-Magnus Janssons plats 1, Helsinki 00550, Finland
*
Author to whom correspondence should be addressed.
Received: 27 September 2011 / Revised: 21 November 2011 / Accepted: 22 November 2011 / Published: 28 November 2011
(This article belongs to the Section Physical Sensors)
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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. View Full-Text
Keywords: mobile networks; MANET; MANET security; routing security; wormhole attack; hop count; traversal time; WAP; DelPHI; MHA mobile networks; MANET; MANET security; routing security; wormhole attack; hop count; traversal time; WAP; DelPHI; MHA
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Karlsson, J.; Dooley, L.S.; Pulkkis, G. A New MANET Wormhole Detection Algorithm Based on Traversal Time and Hop Count Analysis. Sensors 2011, 11, 11122-11140.

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