This project intends to establish an information security foundation for e-T&AS, thereby enabling the development of secure and private by-design and by-default applications in the domain of computer-based assessment.
Bridging the gap between data science and law.
Dark patterns (DPs) are manipulative and deceptive design practices aimed at influencing the decisions that users take online about their purchases, their use of time and the disclosure of their personal data.
Develop a proof-of-concept of our solution, called UShallNotPass, to stop cryptographically strong ransomware.
No more fakes: giving goods a physical unclonable identity.
SP2 program is designed to provide a high-quality research environment for PhD students and to strengthen the links between fundamental and applied research.
Design and Implementation of authentication process, using tags of Cholesteric Liquid Crystal shells. Evaluating the security of tags of Cholesteric Liquid Crystal shells as Physical Unclonable Functions.
Design and Implementation of Dynamic Consent Experiences for Genomic Data protection. Evaluation of Privacy Enhancing Technology for Genomic Data.
The project teams up researchers from computer science and from law. Define a language and build a database of concept for a semi-automatic check of compliance between the GDPR and selected security standards.
The project teams up academia and a small-medium enterprise. It’s about analysis of security of the pEp’s protocols for privacy-by-default. The security analysis concerns the design, the code, and the human-to-computer security ceremonies.