Title: Classification approach to avoid link failures in wireless sensor networks in mobile virtual communities and teleworking

Authors: S. Manthandi Periannasamy; P. Thirumurugan

Addresses: Department of Electronics and Communication Engineering, VKS College of Engineering and Technology, Desiamangalam, Karur, India ' Department of Electronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, India

Abstract: Security issues are the primary issues in wireless sensor networks (WSN) due to its large network coverage and number of nodes. The attackers in WSN attack the particular node which has a low energy level and converts this node into malicious node. The formation of malicious node is the primary reason for link failures between nodes. This paper proposes an efficient methodology to detect the malicious nodes in WSN using feed forward back propagation neural network classifier. This classifier differentiates the malicious node from trusty node based on the extracted features of the test node. The performance of the proposed malicious node detection system is analysed in terms of detection rate, packet delivery ratio (PDR) and latency. The experimental results are compared with state-of-art methods.

Keywords: security; malicious nodes; features; packet delivery ratio; PDR; link failures.

DOI: 10.1504/IJENM.2018.094659

International Journal of Enterprise Network Management, 2018 Vol.9 No.3/4, pp.217 - 226

Received: 19 Jun 2017
Accepted: 02 Nov 2017

Published online: 31 Aug 2018 *

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