Published in IEEE Secure Development Conference, 2020
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. Read more.
Recommended citation: T. Rosenstatter, K. Strandberg, R. Jolak, R. Scandariato, T. Olovsson, "REMIND: A Framework for the Resilient Design of Automotive Systems," 2020 IEEE Secure Development Conference (SecDev), In Print