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Security and Privacy Vulnerabilities in Automated Driving

Security and Privacy Vulnerabilities in Automated Driving
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Author(s): Suchandra Datta (St. Xavier's College, Kolkata, India)
Copyright: 2020
Pages: 27
Source title: Applied Approach to Privacy and Security for the Internet of Things
Source Author(s)/Editor(s): Parag Chatterjee (National Technological University, Argentina & University of the Republic, Uruguay), Emmanuel Benoist (Bern University of Applied Sciences, Switzerland)and Asoke Nath (St. Xavier's College, Kolkata, India)
DOI: 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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