Election of MPR Nodes and Detection of Malicious Nodes Based on a Byzantine Fault in the OLSR Protocol Case of a Scale-Free Network

Author:

Idboufker Noureddine1,Mssassi Souhail1ORCID,Alaoui Chahid Mohamed1,Zougagh Hicham2

Affiliation:

1. National School of Applied Sciences, Cadi Ayyad University, Marrakesh 40000, Morocco

2. Faculty of Sciences and Techniques, Moulay Slimane University, Beni Mellal 23000, Morocco

Abstract

V2X (Vehicle-to-Everything) communications play a crucial role in enabling the efficient and reliable exchange of information among vehicles, infrastructure, and other entities in smart transportation systems. However, the inherent vulnerabilities and dynamic nature of V2X networks present significant challenges for ensuring secure and trustworthy communication. By enhancing the security of the OLSR (Optimized Link State Routing) protocol through secure MultiPoint Relays (MPRs) Selection, this research aims to provide a robust approach that enhances the overall security posture of V2X networks, enabling safe and secure interactions between vehicles and their environment. The proposed method is based on the Byzantine general’s problem, which is the principle used in blockchain. Compared to the classical flooding mechanism, this technique greatly reduces network traffic overhead and improves the efficiency of bandwidth utilization. The results demonstrated that the proposed algorithm performed better than the well-used UM-OLSR implementation. The outcome proved that our MPR election algorithm guarantees a better packet delivery ratio, and it also performs very well in the detection and isolation of malicious nodes, leading to increased security of the OLSR protocol control plane.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Control the Interval Estimation to Enhance the Performance of Optimized Link State Routing;2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2024-05-19

2. Attack and Anomaly Detection in IoT Sensors Using Machine Learning Approaches;Lecture Notes in Networks and Systems;2024

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