Dynamic Trust Model for Software Defined Vehicles

Today's vehicle architectures build trust on a framework that is static, binary and rigid; tomorrow's software defined vehicle architectures require a trust model that is dynamic, nuanced, and adaptive. The Zero Trust paradigm supports this dynamic need, but current implementations focus on protecting information, not considering the challenges that automobiles face interacting with the physical world. We propose expanding Zero Trust for cyber-physical systems by weighing the potential safety impact of taking action based on information provided against the amount of trust in the message and develop a method to evaluate the effectiveness of this strategy. This strategy offers a potential solution to the problems of implementing real-time responses to active attacks over vehicle lifetime.