PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS.

ABSTRACT:

Motivation

We introduce PRINCESS, a privacy-preserving international collaboration framework for analyzing rare disease genetic data that are distributed across different continents. PRINCESS leverages Software Guard Extensions (SGX) and hardware for trustworthy computation. Unlike a traditional international collaboration model, where individual-level patient DNA are physically centralized at a single site, PRINCESS performs a secure and distributed computation over encrypted data, fulfilling institutional policies and regulations for protected health information.

Results

To demonstrate PRINCESS' performance and feasibility, we conducted a family-based allelic association study for Kawasaki Disease, with data hosted in three different continents. The experimental results sh

SUBMITTER: Chen F 

PROVIDER: S-EPMC5860394 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature