Cybersikkerhed og blockchains​

Med den øgede digitalisering af hele samfundet og vores dagligdag bliver cybersikkerhed en af de største samfundsmæssige og tekniske udfordringer i fremtiden. Systemerne bag digitaliseringen er distribuerede og arbejder på følsomme data, og det betyder, at kryptologi og distribuerede systemer bliver to centrale tekniske discipliner, når der skal skabes et solidt fundament for fremtidens cybersikkerhed.

Projekter

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. A lot of data are private and stored locally for good reasons, but combining the information in a global machine learning system could lead to services that benefit all.

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Bridge project

Trust through Software Independence and Program Verification

Der er konstant interesse for internetafstemning fra valgkommissioner rundt om i verden. Dette illustreres godt af Grønland – deres valglov blev ændret i 2020, og tillader nu brugen af internetafstemning. Dette projekt vil sammen med myndighederne i Grønland undersøge, hvilken effekt programverifikation har på offentlighedens tillid til valgteknologier. Projektet har til formål at bidrage til at gøre internetvalg mere troværdige, hvilket kan styrke udviklings- og post-konfliktdemokratier rundt om i verden.

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Bridge project

Verified Voting Protocols and Blockchains

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. Together with an industrial partner, 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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Arrangementer

Workstreamleder

Aarhus University
Dept. of Computer Science

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

Tilknyttede personer

Roman Beck

Professor

IT-Universitetet i København
Institut for Business IT

Ivan Damgård

Professor

Aarhus Universitet
Institut for Datalogi

IT-Universitetet i København
Institut for Datalogi

Danmarks Tekniske Universitet
Institut for Matematik og Computer Science

University of Aarhus
Department of Computer Science

Danmarks Tekniske Universitet
Institut for Matematik og Computer Science

University of Copenhagen
Department of Computer Science

Aarhus Universitet
Institut for Datalogi

Somnath Mazumdar

Assistant Professor

Copenhagen Business School
Department of Digitalization

Xiao Xiao

Lektor

Copenhagen Business School
Institut for Digitalisering

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

Carsten Baum

Assistant Professor

Technical University of Denmark
DTU Compute

Emmanouil Vasilomanolakis

Associate Professor

Technical University of Denmark
DTU Compute