REMIND: A Framework for the Resilient Design of Automotive Systems
Paper in proceeding, 2020

In the past years, great effort has been spent on enhancing the security and safety of vehicular systems. Current advances in information and communication technology have increased the complexity of these systems and lead to extended functionalities towards self-driving and more connectivity. Unfortunately, these advances open the door for diverse and newly emerging attacks that hamper the security and, thus, the safety of vehicular systems. In this paper, we contribute to supporting the design of resilient automotive systems. We review and analyze scientific literature on resilience techniques, fault tolerance, and dependability. As a result, we present the REMIND resilience framework providing techniques for attack detection, mitigation, recovery, and resilience endurance. Moreover, we provide guidelines on how the REMIND framework can be used against common security threats and attacks and further discuss the trade-offs when applying these guidelines.


automotive systems

cyber-physical systems

resilience techniques

vehicular systems


Thomas Rosenstatter

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Kim Strandberg

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Rodi Jolak

University of Gothenburg

Riccardo Scandariato

University of Gothenburg

Tomas Olovsson

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

2020 IEEE Secure Development (SecDev)


2020 IEEE Secure Development, SecDev 2020
Atlanta, GA, USA,

Cyber Resilience for Vehicles - Cybersecurity for automotive systems in a changing environment - phase1 (CyReV)

VINNOVA (2018-05013), 2019-04-01 -- 2021-03-31.

Subject Categories

Embedded Systems

Computer Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering



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