Study of Denial of Service (DoS) Attack in Wireless Sensor Networks with Power Constraints

Abstract

Wireless sensor networks (WSN) are highly vulnerable to attacks and constraints on resources like power, processing, and radio signal. In high constraint and vulnerable environments adapting to detection and defence mechanisms is a challenge. In this paper analysis of Distributed Denial of Service detection mechanisms of Sybil, Sinkhole, and Wormhole attack for power optimization is carried out based on the power consumption parameter. Power consumption attributes affects the efficiency of nodes during the time of attacks. Energy utilization and conservation also depend upon certain parameters comprising usage of network, changes in topology, climatic changes, no of sensors connected, memory utilization on sensors, and security issues. The analysis takes various attacks detection mechanisms into consideration and a comparative study is projected upon power optimization parameters. This study could contribute to the aspect of extending the activity of the sensor in various applications such as whether monitoring and recording of wildlife movement.