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Information Management Challenges in Autonomous Vehicles: A Systematic Literature Review

Information Management Challenges in Autonomous Vehicles: A Systematic Literature Review

Adrija Ghansiyal, Mamta Mittal, Arpan Kumar Kar
Copyright: © 2021 |Volume: 23 |Issue: 3 |Pages: 20
ISSN: 1548-7717|EISSN: 1548-7725|EISBN13: 9781799859185|DOI: 10.4018/JCIT.20210701.oa5
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MLA

Ghansiyal, Adrija, et al. "Information Management Challenges in Autonomous Vehicles: A Systematic Literature Review." JCIT vol.23, no.3 2021: pp.58-77. http://doi.org/10.4018/JCIT.20210701.oa5

APA

Ghansiyal, A., Mittal, M., & Kar, A. K. (2021). Information Management Challenges in Autonomous Vehicles: A Systematic Literature Review. Journal of Cases on Information Technology (JCIT), 23(3), 58-77. http://doi.org/10.4018/JCIT.20210701.oa5

Chicago

Ghansiyal, Adrija, Mamta Mittal, and Arpan Kumar Kar. "Information Management Challenges in Autonomous Vehicles: A Systematic Literature Review," Journal of Cases on Information Technology (JCIT) 23, no.3: 58-77. http://doi.org/10.4018/JCIT.20210701.oa5

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Abstract

The focus of automobile industry is towards producing efficient driverless cars that are risk free and with zero tolerance to safety violations thereby following in the footsteps of autonomous robots. In this study, the author elaborates on the vulnerabilities relevant to internet of things technology implementation in these connected cars, commonly termed as internet of vehicles. This topic has already been discussed frequently by the research community; however, the main contribution of the paper is to establish the connection of information management with autonomous systems, an aspect that other literatures lack. The focus of the study is on presenting a brief introduction to the foundation technologies used in the connected vehicles. It also aims to summarize the various security methods that have been used infrequently and could be further explored in future research.