Big Data and Privacy Issues for Connected Vehicles in Intelligent Transportation Systems

Hushairi, Zen and Mahmood, Adnan and Hilles, Shadi M. S. (2018) Big Data and Privacy Issues for Connected Vehicles in Intelligent Transportation Systems. In: Encyclopedia of Big Data Technologies. Springer International Publishing AG, pp. 1-7.

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Abstract

The evolution of Big Data in large-scale Internetof-Vehicles has brought forward unprecedented opportunities for a unified management of the transportation sector, and for devising smart Intelligent Transportation Systems. Nevertheless, such form of frequent heterogeneous data collection between the vehicles and numerous applications platforms via diverse radio access technologies has led to a number of security and privacy attacks, and accordingly demands for a ‘secure data collection’ in such architectures. In this respect, this chapter is primarily an effort to highlight the said challenge to the readers, and to subsequently propose some security requirements and a basic system model for secure Big Data collection in Internet-of-Vehicles. Open research challenges and future directions have also been deliberated.

Item Type: Book Chapter
Uncontrolled Keywords: Big Data, Intelligent Transportation System, smart application, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Zen
Date Deposited: 08 Sep 2020 07:07
Last Modified: 08 Sep 2020 07:09
URI: http://ir.unimas.my/id/eprint/31685

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