Privacy Preservation in a Blockchain-Based Healthcare System

The continuous generation of a large volume of health data from different sources has led to healthcare being a data-intensive domain. To achieve innovative advances in medical treatment procedures and to provide personalized healthcare services to the patients this data needs to be shared among different medical facilities. However, because...

An overview of hybrid approaches in Horizontal Federated Learning

Federated Learning starts to give a new perspective regarding the applicability of machine learning in real-life scenarios. Its main goal is to train the model while keeping the participants' data in their devices, thus guaranteeing the privacy of their data. One of the main architectures is the Horizontal Federated Learning, which is the most...

D4: Distributed Direct Digital Democracy: a Remote Electronic Voting Protocol

Recently we have been witnesses to a string of controversial elections: the 2016 US Presidential election, the 2016 Brexit referendum, the 2018 Russian presidential election, the 2018 Zimbabwe elections. The controversies surrounding elections are seemingly endless.<br/><br/>Why are these examples relevant? In the 21st century, we are still...

DECOUPLES: A Privacy-Preserving Solution for Traceability in Supply Chains

Traceability is an increasingly important aspect of the supply chain with several highlights throughout the last few decades. Parties, such as consumers and government agencies, have shown an increase in demand for information regarding their products and materials. Studies throughout the last few years have proposed approaches for a...