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Sequential Hypothesis Testing Based Approach for Replica Cluster Detection in Wireless Sensor Networks
Department of Information Security, Seoul Women’s University, 621 Hwarangro, Nowon-Gu, Seoul, Korea
Received: 10 July 2012; in revised form: 21 August 2012 / Accepted: 27 August 2012 / Published: 5 September 2012
Abstract: In wireless sensor networks, replica node attacks are very dangerous because the attacker can compromise a single node and generate as many replicas of the compromised node as he wants, and then exploit these replicas to disrupt the normal operations of sensor networks. Several schemes have been proposed to detect replica node attacks in sensor networks. Although these schemes are capable of detecting replicas that are widely spread in the network, they will likely fail to detect replica cluster attacks in which replicas form a cluster in a small region. These attacks are also harmful because the attacker can leverage a replica cluster to harmfully impact on the much of the network. To defend against replica cluster attacks, we propose an efficient and effective replica cluster detection scheme using the Sequential Hypothesis Testing. We evaluate our proposed scheme through analysis and simulation. The evaluation results demonstrate that it accomplishes robust replica cluster detection capability.
Keywords: replica cluster attacks; sequential hypothesis testing; wireless sensor networks
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Cite This Article
MDPI and ACS Style
Ho, J.-W. Sequential Hypothesis Testing Based Approach for Replica Cluster Detection in Wireless Sensor Networks. J. Sens. Actuator Netw. 2012, 1, 153-165.
Ho J-W. Sequential Hypothesis Testing Based Approach for Replica Cluster Detection in Wireless Sensor Networks. Journal of Sensor and Actuator Networks. 2012; 1(2):153-165.
Ho, Jun-Won. 2012. "Sequential Hypothesis Testing Based Approach for Replica Cluster Detection in Wireless Sensor Networks." J. Sens. Actuator Netw. 1, no. 2: 153-165.