Trustworthy Data Ecosystems (TRUDATA)

Establishing open and secure shared data ecosystems

The integration and sharing of data across organizational boundaries poses big challenges for the secure storage and processing of data. Addressing those challenges requires new trusted paradigms and mechanisms for data management and processing. Today, data sharing is typically enabled by centralized solutions by big internet companies. This entails high risks because they require unlimited trust in a central authority and represent a “single point of failure”. Decentralized solutions can offer significant advantages in terms of security and resilience.

The goal of this research area is to create a solid technological basis for data management of shared data to enable secure and trustworthy processing across organizational boundaries by implementing a decentralized platform where different actors can jointly use and process trustworthy data without one party having to trust the other or disclose data to a central party. In addition to this fundamentally decentralized approach, participants will also be able to leverage additional centralized resources for processing shared data. The resulting hybrid data architecture will allow a trustworthy, reliable and self-determined data sharing which is relevant for many different application areas such as health, production and finance. The research questions addressed in TRUDATA focus on fundamental aspects and technical challenges for trustworthy data ecosystems and cover a wide range of areas from cybersecurity, to secure hardware and secure protocols for data management and machine learning.

Prinicipal Investigators

Prof. Carsten Binnig

Prof. Carsten Binnig
Coordinator
E-Mail

Prof. Sebastian Faust

Prof. Sebastian Faust
Coordinator
E-Mail

Dr. Richard Bubel

Dr. Richard Bubel

Prof. Marc Fischlin

Prof. Marc Fischlin

Prof. Reiner Hähnle

Prof. Reiner Hähnle

Prof. Heiko Mantel

Prof. Heiko Mantel

Prof. Mira Mezini

Prof. Mira Mezini

Prof. Ahmad-Reza Sadeghi

Prof. Ahmad-Reza Sadeghi

Projects assigned to the research area Trustworthy Data Ecosystems (TRUDATA)

Encryption Meets Search
Hardware-assisted Data Protection
Model-centric Deductive Verification of Smart Contracts
Probabilistic Data Structures in Adversarial Environments
Securing Refinements of Distributed Workflows
Trusted and Scalable Shared Databases
Trusted Multiparty Computation as a Service
Trusted Utilization of Personal Data
01/2019–12/2022Cryptographic Primitives for Secure Decentralized Protocols
01/2019–12/2022Distributed Ledger & Multiparty Computation
01/2019–12/2022Federated Machine Learning