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Vehicle Authentication in Vehicular ...

Stephen, Steffie Maria.

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Vehicle Authentication in Vehicular Ad-Hoc Network Using RSU Based Approach.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Vehicle Authentication in Vehicular Ad-Hoc Network Using RSU Based Approach./
Author:	Stephen, Steffie Maria.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	69 p.
Notes:	Source: Masters Abstracts International, Volume: 82-12.
Contained By:	Masters Abstracts International82-12.
Subject:	Computer science. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28493831
ISBN:	9798505545201

Vehicle Authentication in Vehicular Ad-Hoc Network Using RSU Based Approach.
Stephen, Steffie Maria.

Vehicle Authentication in Vehicular Ad-Hoc Network Using RSU Based Approach. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 69 p.

Source: Masters Abstracts International, Volume: 82-12.

Thesis (M.Sc.)--University of Windsor (Canada), 2021.

This item must not be sold to any third party vendors.

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.

ISBN: 9798505545201Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Authentication

Vehicle Authentication in Vehicular Ad-Hoc Network Using RSU Based Approach.
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245 1 0 $a Vehicle Authentication in Vehicular Ad-Hoc Network Using RSU Based Approach.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 69 p.
500 $a Source: Masters Abstracts International, Volume: 82-12.
500 $a Advisor: Jaekel, Arunita.
502 $a Thesis (M.Sc.)--University of Windsor (Canada), 2021.
506 $a This item must not be sold to any third party vendors.
520 $a 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.
590 $a School code: 0115.
650 4 $a Computer science. $3 523869
650 4 $a Transportation. $3 555912
650 4 $a Computer engineering. $3 621879
650 4 $a Automotive engineering. $3 2181195
653 $a Authentication
653 $a Blockchain
653 $a Channel Busy Time
653 $a Road-Side Unit
653 $a VANET
653 $a Warning messages
690 $a 0984
690 $a 0709
690 $a 0464
690 $a 0540
710 2 $a University of Windsor (Canada). $b COMPUTER SCIENCE. $3 2093677
773 0 $t Masters Abstracts International $g 82-12.
790 $a 0115
791 $a M.Sc.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28493831