Stammdaten

Twinning towards excellence for Privacy Enhancing Technologies leveraging Homomorphic Encryption
Beschreibung:

The main objective of enCRYPTON is to increase the innovation capacity of Sabancı University (SÜ) and enhance the consortium’s scientific quality and research excellence within privacy enhancing technologies. The objectives will be achieved by building scientific capacity, management capacity and technical capacity at SÜ. To enhance scientific competences, staff exchanges, visits of international experts, workshops and summer schools are organised for researchers and early-stage researchers. To enhance management and administration at SÜ, idea generation workshops, impact creation courses, proposal preparation workshops, project management workshops, staff exchanges and participation in tradeshows and business fairs are organised mainly for the administration unit. Moreover, SÜ will develop a prototype server in an exploratory research project that will provide solutions for data privacy problems. SÜ has planned dedicated activities such as joint publications in journals and participation in conferences/workshops for disseminating results, regular updates on a project website and social media for communicating outcomes and using results from the exploratory project as a basis to develop new projects and networking with data-based industries for exploiting results. enCRYPTON’s activities enhance networking between SÜ and EU partners, through knowledge transfer and exchange of best practice. enCRYPTON has a scientific strategy for stepping up and stimulating scientific excellence and innovation capacity at SÜ and focuses on strengthening the research management and administration skills of SÜ.

Schlagworte: privacy, security, knowledge-based
Kurztitel: enCRYPTON
Zeitraum: 01.10.2022 - 30.09.2025
Kontakt-Email: elisabeth.oswald@aau.at
Homepage: -

MitarbeiterInnen

MitarbeiterInnen Funktion Zeitraum
Elisabeth Oswald (intern)
  • 01.10.2022 - 30.09.2025
  • 01.10.2022 - 30.09.2025

Kategorisierung

Projekttyp Forschungsförderung (auf Antrag oder Ausschreibung)
Förderungstyp §27
Forschungstyp
  • Angewandte Forschung
Sachgebiete
  • 102001 - Artificial Intelligence
  • 102016 - IT-Sicherheit
  • 102017 - Kryptologie
  • 102019 - Machine Learning
  • 102022 - Softwareentwicklung
  • 102035 - Data Science
Forschungscluster
  • Humans in the Digital Age
Genderrelevanz Genderrelevanz nicht ausgewählt
Projektfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Cybersecurity

Finanzierung

Förderprogramm
Horizon Europe
Organisation: European Commission

Organisation: European Commission

Kooperationen

Keine Partnerorganisation ausgewählt