Detecting Sinkhole Attacks in IoT-Based wireless Sensor Networks Using Distance From Base Station

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Abstract

Wireless sensor networks (WSNs) are infrastructure-less in nature and contain a number of autonomous sensor nodes. These sensor nodes are dedicated to monitoring the physical conditions of the environment and are organizing the collected data at a central location. Application areas of WSNs, like heathcare and military surveillance, are sensitive. That's why security of WSNs needs to be very effective. Providing security to WSNs plays a major role as it consists of limited resources. The security system should lie within the boundary of the resource potential and be competent enough to handle attacks. Intrusion detection system (IDS) is one type of defense system that can fulfill the measure of limitation of resources. In this paper, a detection technique is proposed against sinkhole attack using the Euclidean distance of each node from the base station. The main advantage of the proposed technique is that it doesn't require any extra hardware setup and doesn't require extra communication cost.

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APA

Mondal, K., Yadav, S. S., Pal, V., Singh, A. P., Yogita, Y., & Singh, M. (2022). Detecting Sinkhole Attacks in IoT-Based wireless Sensor Networks Using Distance From Base Station. International Journal of Information System Modeling and Design, 13(6). https://doi.org/10.4018/IJISMD.297628

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