RackKI
Automatic Integration of Avionik Racks via Artificial Intelligence
Start: 07/2022
End: 06/2025
SASVI addresses the design of trustworthy IT systems considering the following problems:
These problems are solved in SASVI by trust chains with end-to-end isolation consisting of secure RISC-V-based processor architectures, dedicated operating system components, hardware-based root-of-trust (RoT) components and trusted execution environments (TEE).
The FZI’s goal in SASVI is to develop a multi-layer concept for trust chains with end-to-end isolation across systems. This includes the layers hardware/software components, operating system and IIoT applications, starting from secure processor architectures, hardware-related operating system components, hardware-based root-of-trust components and TEE. In addition, a special focus will be placed on the secure and end-to-end integration of components into a trustworthy, industry-ready overall system. To achieve the broadest possible impact of the developed security technologies, SASVI relies on the open RISC-V architecture for hardware components.
The resulting continuously trustworthy overall system will then be researched and evaluated based on use cases – for example, in water supply and wastewater disposal – in critical or sensitive infrastructures.
The technical goals, enumerated from the hardware to the system level, are the development of:
In addition, the FZI intends to research novel isolation mechanisms that can be implemented with open-source hardware and software components in the embedded area. In this way, methods and concepts for secure IIoT systems are developed at various levels that can be used in future Industry 4.0 and automotive research projects.
The FZI focuses in this research area on the topics of resilience for critical infrastructures, managing security, legal tech and (post-)quantum cryptography, and also deals with the mutual influence of artificial intelligence on safety and security.
Funding notice:
The SASVI project is funded by the Federal Ministry of Education and Research (BMBF). Funding Code: 16KIS1577.
Further links:
Project partners:
Automatic Integration of Avionik Racks via Artificial Intelligence
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