End-to-end security validation of IoT systems based on digital twins of end-devices
Laurent Maillet-Contoz, Emmanuel Michel, Mario Diaz Nava, Paul-Emmanuel Brun, Kevin Lepretre, Guillemette Massot · 2020
While the number of digital services is increasing faster and faster, those services rely more and more on IoT systems to collect data and perform data analysis, eventually using AI techniques. In this context, devices are part of the “root of trust” and need to be secured in order to ensure high quality and trusted digital services. This paper presents an approach to facilitate the integration, verification and then the functional validation of the security into devices based on modeling and simulation. This approach allows reducing the cost impact of adding security layer to physical devices.