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Privacy- and Consent-aware Data Sharing with Machine Learning

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Project Description

The the basic elements of the research work; this will include key objectives of:
-Define an architecture of digital trust and identity integration using a Distributed Ledger.
- Integrate a citizen-controlled consent model for data-sharing attributes.
- Define and implement fine-grained access contract policies based on attributes such as time, location and identity.
- Integrate Homomorphic encryption with data contract binding.
- Implement privacy-aware machine learning.
- Implement the revocation of citizen consent and unlearning machine models.
- Define audit trails for citizen data, and which can only be seen by citizens. Implement the revocation of data within learning models.

Type of Project P06 - Research - Other Sources
Project Acronym PCD
Status Project Live
Funder(s) Digital Health Institute
Value £23,627.00
Project Dates Aug 1, 2024 - May 31, 2025
This project contributes to the following UN Sustainable Development Goals
SDG 3 - Good Health and Well-Being
SDG 9 - Industry, Innovation and Infrastructure



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