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arXiv:2610.37059 · v1

Janus Vehicles: Entity-Centric Threat Modelling of Protocol-Conformant Vehicles under a Malicious-Manufacturer Assumption

首次提交 2026-10-27 19:25
版本更新 2026-10-27 19:25
雷达观测 2026-10-29 00:35
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摘要

Automotive cybersecurity commonly assumes benign end-product manufacturers and design authorities, focusing on supply-chain threats, external attacks, and compromised network participants observable through misbehaviour. This assumption overlooks malicious-by-design vehicles that remain authentic and protocol-conformant while performing undeclared sensing, communication, or context-triggered actuation. We formulate an Entity-Centric Threat Model spanning three subcomponents. The first, Malign Entity Archetypes, describes four types of malign entity: peer-benign, purpose-malicious vehicles; compromised vehicles; reappropriated genuine components; and imitated vehicles or components. The model exposes two assurance gaps: authenticity does not establish declared-purpose conformance, while malicious functionality can evade detection based on behavioural history or peer-visible evidence. Reappropriated components can remain genuine and retain usable identities or capabilities outside authorised contexts, reducing the effectiveness of signal fingerprinting and certificate-based authentication. To structure this threat space, we introduce a Behaviour-Locus Matrix that maps covert, overt, and concealment actions across hardware, software, and network loci. For peer-benign, purpose-malicious vehicles, we further present a Behavioural Interaction Model that represents how hidden capabilities are contextually activated, realised through actions, manifested within the vehicle and its environment, and potentially observed or concealed.

作者备注:11 pages, 3 figures, This is a preprint of a paper accepted for publication in the proceedings of the 31st IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2026) - which will be held in 2~4 December 2026

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v1 · 2026-10-27 19:25 · 最新观测版本

Janus Vehicles: Entity-Centric Threat Modelling of Protocol-Conformant Vehicles under a Malicious-Manufacturer Assumption

Automotive cybersecurity commonly assumes benign end-product manufacturers and design authorities, focusing on supply-chain threats, external attacks, and compromised network participants observable through misbehaviour. This assumption overlooks malicious-by-design vehicles that remain authentic and protocol-conformant while performing undeclared sensing, communication, or context-triggered actuation. We formulate an Entity-Centric Threat Model spanning three subcomponents. The first, Malign Entity Archetypes, describes four types of malign entity: peer-benign, purpose-malicious vehicles; compromised vehicles; reappropriated genuine components; and imitated vehicles or components. The model exposes two assurance gaps: authenticity does not establish declared-purpose conformance, while malicious functionality can evade detection based on behavioural history or peer-visible evidence. Reappropriated components can remain genuine and retain usable identities or capabilities outside authorised contexts, reducing the effectiveness of signal fingerprinting and certificate-based authentication. To structure this threat space, we introduce a Behaviour-Locus Matrix that maps covert, overt, and concealment actions across hardware, software, and network loci. For peer-benign, purpose-malicious vehicles, we further present a Behavioural Interaction Model that represents how hidden capabilities are contextually activated, realised through actions, manifested within the vehicle and its environment, and potentially observed or concealed.

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