Secure autonomous charging stations: machine-to-machine authentication framework

Fareena Saqib; Khurram Kazi; M. Yasin Akhtar Raja

doi:10.1117/12.2600822

1 July 2021 Secure autonomous charging stations: machine-to-machine authentication framework

Fareena Saqib, Khurram Kazi, M. Yasin Akhtar Raja

Proceedings Volume 11877, Second iiScience International Conference 2021: Recent Advances in Photonics and Physical Sciences; 118770B (2021) https://doi.org/10.1117/12.2600822
Event: 2nd iiScience International Conference 2021: Recent Advances in Photonics and Physical Sciences, 2021, Faisalabad, Pakistan

Abstract

The advent of autonomous vehicles requires machine-to-machine interaction to support services for charging the vehicle, running on designated/programmed routes, and following the rules and regulations. The charging/refueling stations are emerging-industry that is compelling service-markets to enable the machine-to-machine interaction. That in turn necessitates supporting the standardized features such as socket-outlets and the power to enable electric vehicles to be charged. This economic shift also introduces vulnerabilities that could result in security and safety concerns; e.g., for the computing on wheels platforms and communications modules with the support infrastructure. In this paper, we consider the security vulnerabilities, e.g., hardware and embedded security primitives that can enforce secure authentication in fog computing environment. That in turn enables secure interactions between the adapting network of vehicles and charging stations. The paper discusses the use of hardware security and trust primitives and authentication protocol for enabling secure autonomous machine-to-machine framework.

Citation Download Citation

Fareena Saqib, Khurram Kazi, and M. Yasin Akhtar Raja "Secure autonomous charging stations: machine-to-machine authentication framework", Proc. SPIE 11877, Second iiScience International Conference 2021: Recent Advances in Photonics and Physical Sciences, 118770B (1 July 2021); https://doi.org/10.1117/12.2600822

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