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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Format: | Article |
Language: | English |
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Kaunas University of Technology
2022-04-01
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Series: | Elektronika ir Elektrotechnika |
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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. |
first_indexed | 2024-12-12T02:40:29Z |
format | Article |
id | doaj.art-e7d11cff64674906a60cfcb488477052 |
institution | Directory Open Access Journal |
issn | 1392-1215 2029-5731 |
language | English |
last_indexed | 2024-12-12T02:40:29Z |
publishDate | 2022-04-01 |
publisher | Kaunas University of Technology |
record_format | Article |
series | Elektronika ir Elektrotechnika |
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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