Big Data in Vehicular Cloud Computing: Review, Taxonomy, and Security Challenges

Modern vehicles equipped with various smart sensors have become a means of transportation and have become a means of collecting, creating, computing, processing, and transferring data while traveling through modern and rural cities. A traditional vehicular ad hoc network (VANET) cannot handle the en...

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Main Authors: Majed S. Alsayfi, Mohamed Y. Dahab, Fathy E. Eassa, Reda Salama, Seif Haridi, Abdullah S. Al-Ghamdi
Format: Article
Language:English
Published: Kaunas University of Technology 2022-04-01
Series:Elektronika ir Elektrotechnika
Subjects:
Online Access:https://eejournal.ktu.lt/index.php/elt/article/view/30178
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author Majed S. Alsayfi
Mohamed Y. Dahab
Fathy E. Eassa
Reda Salama
Seif Haridi
Abdullah S. Al-Ghamdi
author_facet Majed S. Alsayfi
Mohamed Y. Dahab
Fathy E. Eassa
Reda Salama
Seif Haridi
Abdullah S. Al-Ghamdi
author_sort Majed S. Alsayfi
collection DOAJ
description Modern vehicles equipped with various smart sensors have become a means of transportation and have become a means of collecting, creating, computing, processing, and transferring data while traveling through modern and rural cities. A traditional vehicular ad hoc network (VANET) cannot handle the enormous and complex data that are collected by modern vehicle sensors (e.g., cameras, lidar, and global positioning systems (GPS)) because they require rapid processing, analysis, management, storage, and uploading to trusted national authorities. Furthermore, the integrated VANET with cloud computing presents a new concept, vehicular cloud computing (VCC), which overcomes the limitations of VANET, brings new services and applications to vehicular networks, and generates a massive amount of data compared to the data collected by individual vehicles alone. Therefore, this study explored the importance of big data in VCC. First, we provide an overview of traditional vehicular networks and their limitations. Then we investigate the relationship between VCC and big data, fundamentally focusing on how VCC can generate, transmit, store, upload, and process big data to share it among vehicles on the road. Subsequently, a new taxonomy of big data in VCC was presented. Finally, the security challenges in big data-based VCCs are discussed.
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spelling doaj.art-e7d11cff64674906a60cfcb4884770522022-12-22T00:41:11ZengKaunas University of TechnologyElektronika ir Elektrotechnika1392-12152029-57312022-04-01282597110.5755/j02.eie.3017835432Big Data in Vehicular Cloud Computing: Review, Taxonomy, and Security ChallengesMajed S. Alsayfi0Mohamed Y. Dahab1Fathy E. Eassa2Reda Salama3Seif Haridi4Abdullah S. Al-Ghamdi5Department of Computer Science, Faculty of Computing and Information Technology, King Abdelaziz University, Saudi ArabiaDepartment of Computer Science, Faculty of Computing and Information Technology, King Abdelaziz University, Saudi ArabiaDepartment of Computer Science, Faculty of Computing and Information Technology, King Abdelaziz University, Saudi ArabiaDepartment of Information Technology, Faculty of Computing and Information Technology, King Abdelaziz University, Saudi ArabiaKTH Royal Institute of Technology, SwedenDepartment of Information System, Faculty of Computing and Information Technology, King Abdelaziz University, Saudi ArabiaModern vehicles equipped with various smart sensors have become a means of transportation and have become a means of collecting, creating, computing, processing, and transferring data while traveling through modern and rural cities. A traditional vehicular ad hoc network (VANET) cannot handle the enormous and complex data that are collected by modern vehicle sensors (e.g., cameras, lidar, and global positioning systems (GPS)) because they require rapid processing, analysis, management, storage, and uploading to trusted national authorities. Furthermore, the integrated VANET with cloud computing presents a new concept, vehicular cloud computing (VCC), which overcomes the limitations of VANET, brings new services and applications to vehicular networks, and generates a massive amount of data compared to the data collected by individual vehicles alone. Therefore, this study explored the importance of big data in VCC. First, we provide an overview of traditional vehicular networks and their limitations. Then we investigate the relationship between VCC and big data, fundamentally focusing on how VCC can generate, transmit, store, upload, and process big data to share it among vehicles on the road. Subsequently, a new taxonomy of big data in VCC was presented. Finally, the security challenges in big data-based VCCs are discussed.https://eejournal.ktu.lt/index.php/elt/article/view/30178big datasecuritytraditional vehicular networkvehicular cloud computingon-board unit
spellingShingle Majed S. Alsayfi
Mohamed Y. Dahab
Fathy E. Eassa
Reda Salama
Seif Haridi
Abdullah S. Al-Ghamdi
Big Data in Vehicular Cloud Computing: Review, Taxonomy, and Security Challenges
Elektronika ir Elektrotechnika
big data
security
traditional vehicular network
vehicular cloud computing
on-board unit
title Big Data in Vehicular Cloud Computing: Review, Taxonomy, and Security Challenges
title_full Big Data in Vehicular Cloud Computing: Review, Taxonomy, and Security Challenges
title_fullStr Big Data in Vehicular Cloud Computing: Review, Taxonomy, and Security Challenges
title_full_unstemmed Big Data in Vehicular Cloud Computing: Review, Taxonomy, and Security Challenges
title_short Big Data in Vehicular Cloud Computing: Review, Taxonomy, and Security Challenges
title_sort big data in vehicular cloud computing review taxonomy and security challenges
topic big data
security
traditional vehicular network
vehicular cloud computing
on-board unit
url https://eejournal.ktu.lt/index.php/elt/article/view/30178
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