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SECPAT: Security Patterns for Resilient Automotive e / e Architectures

Contributo in Atti di convegno
Data di Pubblicazione:
2022
Abstract:
Automated driving requires increasing networking of vehicles, which in turn broadens their attack surface. In this paper, we describe several security design patterns that target critical steps in automotive attack chains and mitigate their con-sequences. These patterns enable the detection of anomalies in the firmware when booting, detect anomalies in the communication in the vehicle, prevent unauthorized control units from successfully transmitting messages, offer a way of transmitting security-related events within a vehicle network and reporting them to units external to the vehicle, and ensure that communication in the vehicle is secure. Using the example of a future high-level Electrical / Electronic (E / E) architecture, we also describe how these security design patterns can be used to become aware of the current attack situation and how to react to it.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
automotive threat mitigation; resilience; automotive security; cybersecurity engineering; intrusion detection; connected car; AUTOSAR
Elenco autori:
DE VINCENZI, Marco; Costantino, Gianpiero; Matteucci, Ilaria
Autori di Ateneo:
MATTEUCCI ILARIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/418228
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