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Security and Privacy Vulnerabilities in Automated Driving

Security and Privacy Vulnerabilities in Automated Driving

Suchandra Datta
Copyright: © 2020 |Pages: 27
ISBN13: 9781799824442|ISBN10: 1799824446|ISBN13 Softcover: 9781799824459|EISBN13: 9781799824466
DOI: 10.4018/978-1-7998-2444-2.ch008
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MLA

Datta, Suchandra. "Security and Privacy Vulnerabilities in Automated Driving." Applied Approach to Privacy and Security for the Internet of Things, edited by Parag Chatterjee, et al., IGI Global, 2020, pp. 154-180. https://doi.org/10.4018/978-1-7998-2444-2.ch008

APA

Datta, S. (2020). Security and Privacy Vulnerabilities in Automated Driving. In P. Chatterjee, E. Benoist, & A. Nath (Eds.), Applied Approach to Privacy and Security for the Internet of Things (pp. 154-180). IGI Global. https://doi.org/10.4018/978-1-7998-2444-2.ch008

Chicago

Datta, Suchandra. "Security and Privacy Vulnerabilities in Automated Driving." In Applied Approach to Privacy and Security for the Internet of Things, edited by Parag Chatterjee, Emmanuel Benoist, and Asoke Nath, 154-180. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2444-2.ch008

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Abstract

Driver assistance systems are advancing at a rapid pace, and almost all major companies have started investing in developing autonomous vehicles. However, the security and reliability in this field is still uncertain and debatable. A vehicle compromised by the attackers remotely can be easily used to create chaos of epic proportions. An attacker can control brake, accelerate, and even steering, which can lead to catastrophic consequences. Therefore, an autonomous vehicle can be weaponized extremely easily if proper security protocols are not implemented. This chapter gives a very short and brief overview of some of the possible attacks on autonomous vehicle software and hardware and their potential implications.

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