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Cyber security and Blockchains

The already widespread and accelerating digitalisation of all aspects of society and private life makes cyber security one of the key societal and technical challenges of the future. The systems’ underlying digitalisation are distributed and work on sensitive data, making cryptography and distributed systems two key technical disciplines in building the foundation for the future cyber security.

Projects

SciTech project

Privacy and Machine Learning

There is an unmet need for decentralised privacy-preserving machine learning. Cloud computing has great potential, however, there is a lack of trust in the service providers and there is a risk of data breaches. This project aims to develop AI methods and tools that enable secure and privacy-preserving use of sensitive data for machine learning. The goal is to address the lack of trust in cloud service providers and the risk of data breaches, while still enabling the use of analytical tools. 

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Bridge project

Verified Voting Protocols and Blockchains

There is constant interest for Internet Voting by election commissions around the world. At the same time, there is a need for online voting in blockchain governance. However, building an internet voting system is not easy: The design of new cryptographic protocols is error-prone, and public trust in the elected body is easily threatened. This project aims to improve the security and quality of the internet voting system and influence regulation on minimum quality requirements for blockchains.

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Bridge project

Trust through Software Independence and Program Verification

Greenland’s election law was changed in 2020, which now permits the use of Internet Voting. Together with the authorities in Greenland, this project will investigate the effects of program verification on public trust in election technologies. The project aims to contribute to making internet elections more credible, which can strengthen developing and post-conflict democracies around the world.

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Events

Workstream manager

Aarhus University
Dept. of Computer Science

E: orlandi@cs.au.dk
T: +45 21 43 32 49

Contributing researchers

Roman Beck

Professor

IT University of Copenhagen
Department of Business IT

Ivan Damgaard

Professor

Aarhus University
Department of Computer Science

Bernardo David

Associate Professor

IT University of Copenhagen
Department of Computer Science

Technical University of Denmark
DTU  Compute

University of Aarhus
Department of Computer Science

University of Southern Denmark
Mærsk Mc-Kinney Møller Institute

University of Copenhagen
Department of Computer Science

Aarhus University
Department of Computer Science

Somnath Mazumdar

Assistant Professor

Copenhagen Business School
Department of Digitalization

Xiao Xiao

Associate Professor

Copenhagen Business School
Department of Digitalization

Giovanni Meroni

Assistant Professor

Technical University of Denmark
DTU Compute

Carsten Baum

Assistant Professor

Technical University of Denmark
DTU Compute

Luisa Siniscalchi

Assistant Professor

Technical University of Denmark
DTU Compute

Emmanouil Vasilomanolakis

Associate Professor

Technical University of Denmark
DTU Compute