This page gathers the results of the project conducted by Eurostat and Cybernetica in 2020-2021 (project reference number ESTAT.2019.0232).
The main goal was to explore the feasibility of a Secure Private Computing solution for the privacy-preserving processing of pseudonymised Mobile Network Operator (MNO) data. The technology of choice for this project was based on Trusted Execution Environment (TEE) technology with hardware isolation (Intel SGX).
For a general overview of the motivations and goals of the project refer to this paper presented at UNECE in 2021 UNECE2021_paper_eurostat_cybernetica
The specification of test use-cases is available in this technical note by Eurostat ESTAT 2019.0232 Technical Note - Specification of test use-cases.pdf
Below a list of the technical documents and deliverables from the project(*):
- [ESTAT 2019.0232] Solution Analysis
- [ESTAT 2019.0232] Solution Architecture
- [ESTAT 2019.0232] DPIA Scoping Report
- [ESTAT 2019.0232] DPIA Evaluation Report
- [ESTAT 2019.0232] Testing Report
- [ESTAT 2019.0232] Synthetic Test Data Generation
The code developed within the project is available as open-source from github.com/eurostat/mnodata-tee-poc
For an overview of other activities by Eurostat on the (re)use of MNO data for official statistics refer to the MNOdata4OS page.
(*) These documents were prepared by Cybernetica AS as part of a procured project under Service Contract No ESTAT 2019.0232. The opinions expressed in these documents are those of the authors. They do not purport to reflect the opinions, views or official positions of the European Commission or its members.
