Visualization of Wormholes in Underwater Sensor Networks: A Distributed Approach
Principal Investigator: Bharat Bhargava
We propose a distributed mechanism, Dis-VoW, to detect wormhole attacks in under-water 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 neighbor connections without introducing many false alarms.
Students: M. Gerla J. Kong Weichao Wang
Keywords: sensor networks, wormhole attacks