Confidential Data Analytics based on Trusted Execution Environments

Auf einen Blick
- Projektleiter/in : Dr. Nico Ebert
- Stellv. Projektleiter/in : Dr. Tim Geppert
- Projektvolumen : CHF 401'856
- Projektstatus : laufend
- Drittmittelgeber : Innosuisse (Innovationsprojekt / 48335.1 IP-ICT)
- Projektpartner : dq technologies AG, Swisscom AG, SIX Group AG, Intel Ireland Ltd.
- Kontaktperson : Nico Ebert
Beschreibung
Currently there is an unmet need for trust and privacy in
multi-party data analytics (e.g. in cloud computing). A new
solution approach using hardware-based trusted execution
environments is called Confidential Computing. The Zurich-based and
investor-backed startup decentriq is a provider of confidential
analytics software using Confidential Computing and, together with
Microsoft, Intel and Google, founding member of the Confidential
Computing Consortium. In this project decentriq will be supported
by researchers from ZHAW in the design and validation of four
software prototypes in cooperation with SIX Group, Swisscom, Intel
and two other industry partners. The
prototypes form the basis for the Confidential Data Analytics
Platform of decentriq, a software solution enabling confidentiality
for multi-party data analytics. Furthermore, the goal is to
understand adoption factors and barriers of Confidential Data
Analytics in enterprises and develop a generic Confidential
Analytics Canvas, a strategic template to identify new
opportunities for the use of Confidential Data Analytics.