Title: Detection of clone node attack in mobile wireless sensor network with optimised cost function

Authors: Mohammad Hassan Ansari; Vahid Tabataba Vakili

Addresses: School of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 16844, Iran ' School of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 16844, Iran

Abstract: Clone attack is considered as the most important security challenge of wireless sensor networks. In this paper, an innovative distributed approach for the detection of clone node attack is proposed, that is robust against smart attacker in mobile wireless sensor networks. Previously proposed approaches suffer disadvantages such as memory and communication overheads, probability of false alarm and high detection time, however, the detection approach proposed here takes advantage of introducing the observer position concept and hence achieves clone node detection in one cycle of protocol execution leading to less communication overheads. Performance of the proposed approach is analysed in terms of security and cost. To improve performance, using a discrete model and detection cost function stated as a convex optimisation problem and parameters optimised values are calculated. Finally, the simulation results show that proposed approach has less communication overhead and false alarm probability and better performance compared to previously proposed approaches.

Keywords: wireless sensor network; security; clone node; intrusion detection; convex optimisation.

DOI: 10.1504/IJSNET.2017.085761

International Journal of Sensor Networks, 2017 Vol.24 No.3, pp.149 - 159

Received: 07 Apr 2015
Accepted: 16 Apr 2016
Published online: 12 Aug 2017 *

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