Privacy-Aware Distributed Computation (E05*)

• Subject Area: Software Engineering and Programming Languages ; Security and Dependability, Operating-, Communication- and Distributed Systems
• Term: from 2018 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 236615297

The project addresses the challenge of automated generation of scalable privacy-preserving mechanisms in IoT, cloud, and edge computing systems. The project designs SecQL, a query language for data-intensive applications, whose runtime environment automatically generates and deploys sub-computations over nodes of the above systems to optimize performance while protecting the processed data from unauthorized access. The formally defined SecQL makes privacy-preserving mechanisms accessible also for non-security experts.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1119: CROSSING - Cryptography-Based Security Solutions: Enabling Trust in New and Next Generation Computing Environments
• Applicant Institution: Technische Universität Darmstadt
• Project Heads: Professorin Dr.-Ing. Mira Mezini, since 7/2018; Professor Dr.-Ing. Guido Salvaneschi, since 7/2018