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Purdue University
Center for Education and Research in Information Assurance and Security

Visualization of Wormholes in Underwater Sensor Networks: A Distributed Approach

Research Areas: Network Security

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.

Personnel

Students: M. Gerla J. Kong Weichao Wang

Keywords: sensor networks, wormhole attacks