Remind: A framework for the resilient design of automotive systems

Journal
IEEE Secure Development, SecDev 2020
Start Page
81
End Page
95
Article Number
9230288
Citation
IEEE Secure Development (SecDev 2020)
Contribution to Conference
IEEE Secure Development, SecDev 2020  
Publisher DOI
10.1109/SecDev45635.2020.00028
Scopus ID
2-s2.0-85096716253
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.
Subjects
automotive systems
cyber-physical systems
resilience techniques
security
vehicular systems