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Malicious Node Detection in WSN Using WTE

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Malicious Node Detection in WSN Using WTE


Shabnam Kumari | Sumit Dalal | Rashmi

https://doi.org/10.31142/ijtsrd14611



Shabnam Kumari | Sumit Dalal | Rashmi "Malicious Node Detection in WSN Using WTE" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4, June 2018, pp.2386-2390, URL: https://www.ijtsrd.com/papers/ijtsrd14611.pdf

Since WSNs are used in mission-critical tasks, security is an essential requirement. Sensor nodes can easily be compromised by an adversary due to unique constraints inherent in WSNs such as limited sensor node energy, limited computation and communication capabilities and the hostile deployment environments. These unique challenges render existing traditional security schemes used in traditional networks inadequate and inefficient. An adversary may take control of some sensor nodes and use them to inject false data with the aim of misleading the network’s operator (Byzantine attack). It is therefore critical to detect and isolate malicious nodes so as to prevent attacks that can be launched from these nodes and more importantly avoid being misled by falsified information introduced by the adversary via them. This research gives emphasis on improving Weighted Trust Evaluation (WTE) as a technique for detecting and isolating the malicious nodes. Extensive simulation is performed using MAT LAB in which the results show the proposed WTE based algorithm has the ability to detect and isolate malicious nodes, both the malicious sensor nodes and the malicious cluster heads (forwarding nodes) in WSNs at a reasonable detection rate and short response time whilst achieving good scalability.

WSN, WTE, STL, SWSN


IJTSRD14611
Volume-2 | Issue-4, June 2018
2386-2390
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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