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Volume - 4 | Issue - 2 | june 2022

Automated Driving Safety Framework through Security Architecture - Survey Open Access
K. Geetha   489
Pages: 50-61
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Cite this article
Geetha, K.. "Automated Driving Safety Framework through Security Architecture - Survey." Journal of Trends in Computer Science and Smart Technology 4, no. 2 (2022): 50-61
DOI
10.36548/jtcsst.2022.2.001
Published
27 June, 2022
Abstract

An enormous wave of automation technology is about to hit the global market. To save thousands of people's lives, autonomous vehicle technology may decrease congestion and increase mobility, as well as may enhance the productivity of the transportation industry. Developed country governments, on the other hand, are concerned that they may be placing unneeded or unforeseen obstacles on the path of growth. As a result, when it comes to features, safety always comes first. With the help of various functions based on certain automation technologies, this effort attempts to find example ideas. A more technical look at the needs throughout the development to minimize safety-related dangers is presented in this paper, which is meant to augment previous publications on different safety elements. This article emphasizes the significance of safety by design. Additionally, the goal of this article is to overcome the problems of the existing system with authentication and security architecture framework.

Keywords

Automated vehicle cybersecurity neural network prediction analysis autonomous

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