Visualisation of wormholes in underwater sensor networks: a distributed approach Online publication date: Sun, 09-Dec-2007
by Weichao Wang, Jiejun Kong, Bharat Bhargava, Mario Gerla
International Journal of Security and Networks (IJSN), Vol. 3, No. 1, 2008
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.
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