SUSTAIN-6G

Privacy-Aware Medical Data Federation with 6G-Assisted Trust Establishment

The use case aims at introducing the concept of data aware slices. Such slices are expected to create an overlay communication layer among participating entities that fulfill certain compliance and integrity constraints. Application stacks residing in end user equipment and being able to access medical data are attested (via the 6G network) by means of hardware root of trust principles to get access to this new types of slices. Once the software is verified that it strictly adheres to data protection regulation and additionally to the principle of trusted code to data, it is allowed to communicate with other equally verified peer application stacks. In this way medical data can be discovered and utilised in federated learning and thereafter controlled inference workflows minimising data movement and ensuring privacy protection. The use case builds on Data Space practices ensuring traceability and transparency regarding data usage that further allows for immutably associating individual data contributions with the overall value of the resulting data products (e.g. AI models). The use case is contributing to the sustainability pillars (environment: data movement minimisation and distributed processing, society: inclusive protection and value retention, economy: protected use of unexploited data and new business opportunities).

Functionality:
Modified network slicing & edge components for trusted execution and in-situ data processing.



Location(s):
Greece

Vertical sector(s):
Smart Health


replicable use case

This use case is replicable

Degree of replicability1:
25
1According to the Replicability Assessment Tool

High level of replicability : 61 < LR < 80

Good level of replicability: 31 < LR < 60

Low level of replicability: 00 < LR < 30


SUSTAIN-6G


Duration:

GA Number: 101191936

SNS JU Call (Stream):
Call 3
Stream B

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This tool has received funding from the European Union’s Horizon Europe Research and Innovation programme under the SNS ICE project (Grant Agreement No 101095841)