E5 - Privacy-Aware Distributed Computation

E5 – Privacy-Aware Distributed Computation

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.

Researchers

Mirko Köhler
Reactive Software Systems

Research Interests:

  • Programming languages for distributed systems

Aditya Oak
Software Technology Group

Research Interests:

  • Programming languages for distributed systems

Publications

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