Open Access

ARTICLE

Region Centric GL Feature Approximation Based Secure Routing for Improved QoS in MANET

by S. Soundararajan¹, R. Prabha², M. Baskar^3,*, T. J. Nagalakshmi⁴

1 Velammal Institute of Technology, Tamilnadu, 601 204, India
2 Sri Sairam Institute of Technology, Tamilnadu, 600 044, India
3 SRM Institute of Science and Technology, Chengapattu, Tamilnadu, 603 203, India
4 Saveetha School of Engineering, Tamilnadu, 600 124, India

* Corresponding Author: M. Baskar. Email:

Intelligent Automation & Soft Computing 2023, 36(1), 267-280. https://doi.org/10.32604/iasc.2023.032239

Received 11 May 2022; Accepted 21 June 2022; Issue published 29 September 2022

Abstract

Secure routing in Mobile Adhoc Network (Manet) is the key issue now a day in providing secure access to different network services. As mobile devices are used in accessing different services, performing secure routing becomes a challenging task. Towards this, different approaches exist which find the trusted route based on their previous transmission details and behavior of different nodes. Also, the methods focused on trust measurement based on tiny information obtained from local nodes or with global information which are incomplete. However, the adversary nodes are more capable and participate in each transmission not just to steal the data also to generate numerous threats in degrading QoS (Quality of Service) parameters like throughput, packet delivery ratio, and latency of the network. This encourages us in designing efficient routing scheme to maximize QoS performance. To solve this issue, a two stage trust verification scheme and secure routing algorithm named GL-Trust (Global-Local-Trust) is presented. The method involves in route discovery as like popular AODV (Adaptive On-demand Distance Vector) which upgrades the protocol to collect other information like transmission supported, successful transmissions, energy, mobility, the number of neighbors, and the number of alternate route to the same destination and so on. Further, the method would perform global trust approximation to measure the value of global trust and perform local trust approximation to measure local trust. Using both the measures, the method would select a optimal route to perform routing. The protocol is designed to perform localized route selection when there is a link failure which supports the achievement of higher QoS performance. By incorporating different features in measuring trust value towards secure routing, the proposed GL-Trust scheme improves the performance of secure routing as well as other QoS factors.

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Keywords

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