Poster: an in-vehicle software defined network architecture for connected and automated vehicles

Fussey, Peter and Parisis, George (2017) Poster: an in-vehicle software defined network architecture for connected and automated vehicles. Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, Snowbird, USA, 16-20 October 2017. Published in: An In-Vehicle Software Defined Network Architecture for Connected and Automated Vehicles. 73-74. ACM, New York, NY, USA. ISBN 9781450351461

[img] PDF - Published Version
Download (846kB)

Abstract

Vehicular network architectures are being reviewed and re-designed to meet requirements for increasing data rates and flexibility driven in part by the adoption of Connected and Automated Vehicles (CAV) strategies. A progressive move from traditional bus based networks, such as CAN, to Ethernet-based network architectures is being considered across the automotive industry. In this paper we advocate for an in-vehicle Software-Defined Network architecture and discuss benefits that such a shift in the architectural paradigm will bring by strengthening cyber-security defences and enabling a fail-operational capability through network programmability and provably correct networks.

Item Type: Conference Proceedings
Keywords: cyber-security, in-vehicle networks, software-defined networking, verification
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.5 Computer networks. General works
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.5 Computer networks. General works > TK5105.55 Computer network protocols. Standards. General works
Depositing User: Georgios Angelos Parisis
Date Deposited: 26 Oct 2017 12:39
Last Modified: 26 Oct 2017 12:39
URI: http://sro.sussex.ac.uk/id/eprint/70681

View download statistics for this item

📧 Request an update