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A Blockchain Framework for Securing Connected and Autonomous Vehicles

Recently, connected vehicles (CV) are becoming a promising research area leading to the concept of CV as a Service (CVaaS). With the increase of connected vehicles and an exponential growth in the field of online cab booking services, new requirements such as secure, seamless and robust information...

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Detalles Bibliográficos
Autores principales: Rathee, Geetanjali, Sharma, Ashutosh, Iqbal, Razi, Aloqaily, Moayad, Jaglan, Naveen, Kumar, Rajiv
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679321/
https://www.ncbi.nlm.nih.gov/pubmed/31323870
http://dx.doi.org/10.3390/s19143165
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author Rathee, Geetanjali
Sharma, Ashutosh
Iqbal, Razi
Aloqaily, Moayad
Jaglan, Naveen
Kumar, Rajiv
author_facet Rathee, Geetanjali
Sharma, Ashutosh
Iqbal, Razi
Aloqaily, Moayad
Jaglan, Naveen
Kumar, Rajiv
author_sort Rathee, Geetanjali
collection PubMed
description Recently, connected vehicles (CV) are becoming a promising research area leading to the concept of CV as a Service (CVaaS). With the increase of connected vehicles and an exponential growth in the field of online cab booking services, new requirements such as secure, seamless and robust information exchange among vehicles of vehicular networks are emerging. In this context, the original concept of vehicular networks is being transformed into a new concept known as connected and autonomous vehicles. Autonomous vehicular use yields a better experience and helps in reducing congestion by allowing current information to be obtained by the vehicles instantly. However, malicious users in the internet of vehicles may mislead the whole communication where intruders may compromise smart devices with the purpose of executing a malicious ploy. In order to prevent these issues, a blockchain technique is considered the best technique that provides secrecy and protection to the control system in real time conditions. In this paper, the issue of security in smart sensors of connected vehicles that can be compromised by expert intruders is addressed by proposing a blockchain framework. This study has further identified and validated the proposed mechanism based on various security criteria, such as fake requests of the user, compromise of smart devices, probabilistic authentication scenarios and alteration in stored user’s ratings. The results have been analyzed against some existing approach and validated with improved simulated results that offer 79% success rate over the above-mentioned issues.
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spelling pubmed-66793212019-08-19 A Blockchain Framework for Securing Connected and Autonomous Vehicles Rathee, Geetanjali Sharma, Ashutosh Iqbal, Razi Aloqaily, Moayad Jaglan, Naveen Kumar, Rajiv Sensors (Basel) Article Recently, connected vehicles (CV) are becoming a promising research area leading to the concept of CV as a Service (CVaaS). With the increase of connected vehicles and an exponential growth in the field of online cab booking services, new requirements such as secure, seamless and robust information exchange among vehicles of vehicular networks are emerging. In this context, the original concept of vehicular networks is being transformed into a new concept known as connected and autonomous vehicles. Autonomous vehicular use yields a better experience and helps in reducing congestion by allowing current information to be obtained by the vehicles instantly. However, malicious users in the internet of vehicles may mislead the whole communication where intruders may compromise smart devices with the purpose of executing a malicious ploy. In order to prevent these issues, a blockchain technique is considered the best technique that provides secrecy and protection to the control system in real time conditions. In this paper, the issue of security in smart sensors of connected vehicles that can be compromised by expert intruders is addressed by proposing a blockchain framework. This study has further identified and validated the proposed mechanism based on various security criteria, such as fake requests of the user, compromise of smart devices, probabilistic authentication scenarios and alteration in stored user’s ratings. The results have been analyzed against some existing approach and validated with improved simulated results that offer 79% success rate over the above-mentioned issues. MDPI 2019-07-18 /pmc/articles/PMC6679321/ /pubmed/31323870 http://dx.doi.org/10.3390/s19143165 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rathee, Geetanjali
Sharma, Ashutosh
Iqbal, Razi
Aloqaily, Moayad
Jaglan, Naveen
Kumar, Rajiv
A Blockchain Framework for Securing Connected and Autonomous Vehicles
title A Blockchain Framework for Securing Connected and Autonomous Vehicles
title_full A Blockchain Framework for Securing Connected and Autonomous Vehicles
title_fullStr A Blockchain Framework for Securing Connected and Autonomous Vehicles
title_full_unstemmed A Blockchain Framework for Securing Connected and Autonomous Vehicles
title_short A Blockchain Framework for Securing Connected and Autonomous Vehicles
title_sort blockchain framework for securing connected and autonomous vehicles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679321/
https://www.ncbi.nlm.nih.gov/pubmed/31323870
http://dx.doi.org/10.3390/s19143165
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