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University of Windsor

Vehicle Authentication in Vehicular Ad-hoc Network using RSU Based Approach

Abstract

dc:description.abstract

Vehicular Ad Hoc Network (VANET) is a pervasive network where vehicles communicate with nearby vehicles and infrastructure nodes, such as Road-side unit (RSU). VANET is the subclass of Mobile Ad Hoc Network (MANET) in which nodes move randomly and are connected wirelessly. Information sharing among vehicles is an essential component of an intelligent traffic system (ITS), but security and privacy concerns must be taken into consideration. Security of the network can be improved by granting access only to authenticated vehicles. This research proposes an RSU based approach to authenticate vehicles and notify vehicles about unauthorized messages/vehicles. It helps in preventing other vehicles in the network from being influenced by the malicious vehicle. In this approach, Blockchain has been used to securely maintain the identity of all vehicles in the network. The use of this RSU based approach helps to reduce the computational overhead on the On-board unit (OBU) of individual vehicles and reduces the processing delay.

Degree

thesis:*
Name thesis:degree_name
M.Sc.
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Windsor
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Stephen, Steffie Maria
Advisor dc:contributor.advisor
  • Jaekel, Arunita
Contributors dc:contributor
  • mita@uwindsor.ca

Rights

dc:rights
Language dc:language.iso
en_CA

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/20.500.14776/8790
OAI identifier oai:identifier
oai:uwindsor.scholaris.ca:20.500.14776/8790

Chain of custody

source
Harvested from
University of Windsor
Base URL
uwindsor.scholaris.ca/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Stephen, Steffie Maria. Vehicle Authentication in Vehicular Ad-hoc Network using RSU Based Approach. Masters thesis, University of Windsor, 2021. https://hdl.handle.net/20.500.14776/8790