Refereed article in conference proceedings (A4)
Automated driving systems meet edge computing: A security perspective
List of Authors: Tahsin C. M. Dönmez, Yuan Zhang, Ethiopia Nigussie, Antti Hakkala, Jouni Isoaho
Editors: Lusikka Toni
Conference name: Transport Research Arena
Publisher: Traficom
Publication year: 2020
Journal: Traficom Research Reports
Book title *: Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility
Title of series: Traficom Research Reports
Number in series: 7
eISBN: 978-952-311-484-5
eISSN: 2669-8781
URL: https://www.traficom.fi/sites/default/files/media/publication/TRA2020-Book-of-Abstract-Traficom-research-publication.pdf
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/42179061
This work presents an overview of security challenges associated with Automated Driving Systems (ADSs), covering on- and off-board computations, trustworthiness of data sources, and communications. We focus on the security of computations and emergent involvement of the edge computing paradigm in ADSs. Analysis of ADS and edge computing security reveals that ensuring the integrity of offloaded computations and availability of the offloading service are major security challenges that must be addressed if edge computing is to play a significant role in ADSs. Verifiable computation is investigated as a security solution to ensure integrity of offloaded ADS computations, and a method for deciding on the adequateness of a verifiable computation scheme for ADS applications is proposed.
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