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A Realistic Modelling of the Sinkhole and the Black Hole Attacks in Cluster-Based WSNs

I. Abasikeleş-Turgut, M. N. Aydin, and K. Tohma
Department of Computer Engineering, Faculty of Engineering, Mustafa Kemal University, Iskenderun, Hatay, Turkey
Abstract—Due to the positioning in hostile environment, wireless sensor networks (WSNs) are prone to various attacks. Hence, security is one of the most important issues in these networks. Therefore, detecting and preventing several kinds of attacks on WSNs is a popular subject in literature. However, handling these attacks on WSNs requires realistic modeling of these attacks since most of WSNs are application specific. In this paper, two kinds of serious attacks called the sinkhole and the black hole attack are modelled on the LEACH, which is a common cluster-based WSN. Three models are designed for these attacks and the results are evaluated under different performance metrics for different number of nodes. The results show that the black hole attack with a black hole region, which damages the network more than the other attacks, inclines 38% of the packets to be dropped.
 
Index Terms—black hole, LEACH, sinkhole, wireless sensor network

Cite: I. Abasikeleş-Turgut, M. N. Aydin, and K. Tohma, "A Realistic Modelling of the Sinkhole and the Black Hole Attacks in Cluster-Based WSNs," International Journal of Electronics and Electrical Engineering, Vol. 4, No. 1, pp. 74-78, February 2016. doi: 10.18178/ijeee.4.1.74-78
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