Visualisation of wormholes in underwater sensor networks: a distributed approach

Authors:
Weichao Wang;Jiejun Kong;Bharat Bhargava;Mario Gerla
Affiliations:
Department of Software and Information Systems, University of North Carolina at Charlotte, NC 28223, USA.;Computer Science Department, University of California, Los Angeles, CA 90095, USA.;Department of Computer Sciences, Purdue University, W. Lafayette, IN 47907, USA.;Computer Science Department, University of California, Los Angeles, CA 90095, USA
Venue:
International Journal of Security and Networks
Year:
2008

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Abstract

We propose a distributed mechanism, Dis-VoW, to detect wormhole attacks in underwater sensor networks. In Dis-VoW, every sensor reconstructs local network layout using multi-dimensional scaling. It detects the wormholes by visualising the distortions in edge lengths and angles among neighbouring sensors. The contributions include: Dis-VoW does not depend on any special hardware; it provides a localised wormhole detection mechanism adapting to network topology changes; it integrates techniques from social science and scientific visualisation to attack network security problems. The simulation results show that Dis-VoW can detect most of the fake neighbour connections without introducing many false alarms.