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Open AccessArticle

A New Lightweight Watchdog-Based Algorithm for Detecting Sybil Nodes in Mobile WSNs

by Rezvan Almas Shehni 1,‡, Karim Faez 2,‡, Farshad Eshghi 3,*,†,‡ and Manoochehr Kelarestaghi 3,‡
1
Department of Computer Engineering and Information Technology, Qazvin Azad University, Qazvin 15195-34199, Iran
2
Department of Electrical Engineering, Amirkabir University of Technology, Tehran 15916-34311, Iran
3
Department of Electrical & Computer Engineering , Faculty of Engineering, Kharazmi University, Tehran 15719-14911, Iran
*
Author to whom correspondence should be addressed.
Current address: Department of Electrical & Computer Engineering , Faculty of Engineering, Kharazmi University, Tehran, Iran.
These authors contributed equally to this work.
Future Internet 2018, 10(1), 1; https://doi.org/10.3390/fi10010001
Received: 15 November 2017 / Revised: 5 December 2017 / Accepted: 8 December 2017 / Published: 21 December 2017
(This article belongs to the Special Issue Security and Privacy in Wireless and Mobile Networks)
Wide-spread deployment of Wireless Sensor Networks (WSN) necessitates special attention to security issues, amongst which Sybil attacks are the most important ones. As a core to Sybil attacks, malicious nodes try to disrupt network operations by creating several fabricated IDs. Due to energy consumption concerns in WSNs, devising detection algorithms which release the sensor nodes from high computational and communicational loads are of great importance. In this paper, a new computationally lightweight watchdog-based algorithm is proposed for detecting Sybil IDs in mobile WSNs. The proposed algorithm employs watchdog nodes for collecting detection information and a designated watchdog node for detection information processing and the final Sybil list generation. Benefiting from a newly devised co-presence state diagram and adequate detection rules, the new algorithm features low extra communication overhead, as well as a satisfactory compromise between two otherwise contradictory detection measures of performance, True Detection Rate (TDR) and False Detection Rate (FDR). Extensive simulation results illustrate the merits of the new algorithm compared to a couple of recent watchdog-based Sybil detection algorithms. View Full-Text
Keywords: mobile WSN; security; watchdog node; Sybil attack mobile WSN; security; watchdog node; Sybil attack
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Almas Shehni, R.; Faez, K.; Eshghi, F.; Kelarestaghi, M. A New Lightweight Watchdog-Based Algorithm for Detecting Sybil Nodes in Mobile WSNs. Future Internet 2018, 10, 1.

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