DeCanSec: A Decentralized Architecture for Secure Statistical Computations on Distributed Health Registry Data

Abstract

The architectures presented in the literature, and current practices and solutions for computing statistics on data from health registries distributed across the world are manual and suffers from security and privacy problems. In this paper, we suggest a solution design with a infrastructure architecture providing improved security, automation and privacy guarantees compared to the related works. Our solution builds on top of the key research accomplishments from several areas such as distributed computing, blockchain, cryptography, and medical informatics rather than completely re-inventing the wheel from scratch for the healthcare domain. The proposed architecture is currently being prototyped in the Cancer Registry of Norway.