Aristotle University of Thessaloniki, through the Intelligent Systems Lab (ISL) of the School of Informatics, participates in the ENCRYPT project funded by the European Union’s Research and Innovation Framework Programme Horizon Europe, with a duration of three years (July 2022 – June 2025).
The project’s main goal is to address challenges related to existing Privacy Preserving technologies, thus providing researchers and service providers working with personal and other sensitive data, with a scalable, practical, adaptable privacy-preserving framework facilitating the GDPR-compliant processing of such data stored in federated cross-border data spaces. Within this framework, a recommendation engine for citizens and end-users will be developed, providing them with personalised suggestions on privacy preserving technologies depending on the sensitivity of data and the accepted trade-off between the degree of security and the overall system performance.
14 partners from 8 countries have formed an interdisciplinary consortium, covering the value chain for privacy-preserving computation technologies, and they will work together for the next 32 months to realise ENCRYPT offer.
AUTh in ENCRYPT contributes to the exchange of standardised cyber security intelligence, knowledge, data types and models among different organisations. More specifically, AUTH develops the knowledge representation and interlinking layer of ENCRYPT (Knowledge Graphs) towards interoperability and knowledge reuse ensuring that data generated by different organisations is unambiguously accessible and processable across different domains and stakeholders. This layer will support the standardised capturing of organisational contexts, security and privacy requirements, personal data and profiles, as well as the matching between different data sets and privacy-protecting options, aiming at building semantically rich and interlinked knowledge graphs with generic and sector-pertinent situational contexts. In addition, AUTh leads the activities towards the scientific dissemination of the project results.
For more information, please visit ENCRYPT Website at https://encrypt-project.eu/ and connect with us in LinkedIn (https://www.linkedin.com/company/encrypt-project/) and Twitter (https://twitter.com/encrypt_project)