CROct 2, 2019

Automotive Cybersecurity: Foundations for Next-Generation Vehicles

arXiv:1910.01037v128 citations
Originality Synthesis-oriented
AI Analysis

This work tackles cybersecurity issues for automotive manufacturers and users, but it is incremental as it builds on existing concerns without introducing new methods or data.

The paper addresses the cybersecurity challenges in next-generation vehicles, which are becoming complex cyber-physical systems due to digitalization and connectivity, and proposes a paradigm shift towards a secure-by-design approach to mitigate the extended attack surface.

The automotive industry is experiencing a serious transformation due to a digitalisation process and the transition to the new paradigm of Mobility-as-a-Service. The next-generation vehicles are going to be very complex cyber-physical systems, whose design must be reinvented to fulfil the increasing demand of smart services, both for safety and entertainment purposes, causing the manufacturers' model to converge towards that of IT companies. Connected cars and autonomous driving are the preeminent factors that drive along this route, and they cause the necessity of a new design to address the emerging cybersecurity issues: the "old" automotive architecture relied on a single closed network, with no external communications; modern vehicles are going to be always connected indeed, which means the attack surface will be much more extended. The result is the need for a paradigm shift towards a secure-by-design approach.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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