Study of wormhole attack detecting based on local connectivity information in wireless sensor networks

Yu, B. X.; Li, Tongqiang

doi:10.1109/csss.2011.5974812

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Choi et al [28] measured the RTTs between neighbors, identifying that two neighbors which are not within each other's communication range are supposed to be suffering from wormhole attack. Other approaches make use of local and neighborhood information to detect wormholes [14, 29, 30].…”

Section: Related Workmentioning

confidence: 99%

Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs

Hussain

Luo

et al. 2015

International Journal of Distributed Sensor Networks

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Wormhole attack is one of the severe threats to wireless sensor and ad hoc networks. Most of the existing countermeasures either require specialized hardware or demand high network overheads in order to capture the specific symptoms induced by the wormholes, which in result limits their applicability. In this paper, we exploit an inevitable symptom of wormholes and present Pworm, a passive wormhole detection and localization system based upon the key observation that a large amount of network traffic will be attracted by the wormholes. The proposed scheme is passive, real-time, and efficient against both active and passive wormholes. Our approach silently observes the variations in network topology to infer the wormhole existence and solely relies on network routing information. It does not necessitate specialized hardware or poses rigorous assumptions on network features. We evaluate our scheme through extensive simulations of 100 to 800 nodes for various network scales and show that Pworm is well suited for false alarms, scalability, and time delay in terms of activation as well as detection latencies.

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