Open Access

ARTICLE

Hybrid Trust Based Reputation Mechanism for Discovering Malevolent Node in MANET

by S. Neelavathy Pari^1,*, K. Sudharson²

1 Department of Computer Technology, Anna University, Chennai, 600025, India
2 Department of Information Technology, Velammal Insitutue of Technology, Chennai, 601204, India

* Corresponding Author: S. Neelavathy Pari. Email:

Computer Systems Science and Engineering 2023, 44(3), 2775-2789. https://doi.org/10.32604/csse.2023.029345

Received 01 March 2022; Accepted 07 April 2022; Issue published 01 August 2022

Abstract

A self-contained connection of wireless links that functions without any infrastructure is known as Mobile Ad Hoc Network (MANET). A MANET’s nodes could engage actively and dynamically with one another. However, MANETs, from the other side, are exposed to severe potential threats that are difficult to counter with present security methods. As a result, several safe communication protocols designed to enhance the secure interaction among MANET nodes. In this research, we offer a reputed optimal routing value among network nodes, secure computations, and misbehavior detection predicated on node’s trust levels with a Hybrid Trust based Reputation Mechanism (HTRM). In addition, the study designs a robust Public Key Infrastructure (PKI) system using the suggested trust evaluation method in terms of “key” generation, which is a crucial component of a PKI cryptosystem. We also concentrate on the solid node authenticating process that relies on pre-authentication. To ensure edge-to-edge security, we assess safe, trustworthy routes to secure computations and authenticate mobile nodes, incorporating uncertainty into the trust management solution. When compared to other protocols, our recommended approach performs better. Finally, we use simulations data and performance evaluation metrics to verify our suggested approach’s validity Our approach outperformed the competing systems in terms of overall end-to-end delay, packet delivery ratio, performance, power consumption, and key-computing time by 3.47%, 3.152%, 2.169%, and 3.527%, 3.762%, significantly.

---

Keywords

---