Living lab for the transfer of digital health applications and AI into healthcare
Competence Cluster Anonymization for Interconnected Mobility Systems
The long-term goal of ANYMOS is to establish anonymization as an enabling technology to reduce uncertainties surrounding the need to apply data protection regulations when sharing and using data – while preserving Germany’s strong position in data-driven innovations for the automotive and public transport sectors.
As an instrument to reduce uncertainties, ANYMOS will develop and establish a procedure model that helps organizations identify their anonymization needs and opportunities for mobility applications, select suitable anonymization methods reflecting the latest in research and technology, apply them correctly, and to systematically identify and address re-identification risks. All research will be application-oriented by developing and demonstrating use cases for anonymization in the topic areas of autonomous driving and public transport.
The FZI coordinates the ANYMOS competence cluster and is responsible for technology transfer to industry. Together with its partners, the FZI develops and demonstrates use cases. With regard to anonymity definitions and data value chains, the FZI is especially responsible for reconciling legal requirements with the technical performance of methods and value chain the requirements. In addition, the FZI conducts research on formal definitions of data utility, develops methods for identifying data relevant to data protection in complex multi-sensor systems, and towards determining risk through de-anonymization. Furthermore, the FZI coordinates the derivation of the process model.
Division: Software Engineering
Safety, Security and the Law
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.
Intelligent Transportation Systems and Logistics
Intelligent solutions for the transportation of people and goods represent a focus topic of FZI’s application research. Particular attention is paid to public transport, the application of artificial intelligence, the further development of driving functions and their safeguarding, and open source & open data.