Secure Evaluation Protocol for Personalized Medicine

Autor: Stephen James Hardy, Arik Friedman, Roksana Boreli, Felix Lawrence, Mentari Djatmiko, Brian Thorne
Rok vydání: 2014
Předmět:
Zdroj: WPES
DOI: 10.1145/2665943.2665967
Popis: The increasing availability and use of genome data for applications like personalized medicine have created opportunities for the improved diagnosis and treatment of various medical conditions. However, it has a potential to be used for discrimination, thereby presenting a set of serious challenges in privacy and security. We propose a secure evaluation algorithm to compute genomic tests that are based on a linear combination of genome data values (we use the Warfarin dosing algorithm as a representative example). Our proposal relies on a combination of partially homomorphic Paillier encryption and private information retrieval. We implement a prototype system that includes the Paillier encryption part of our protocol. Our initial evaluation demonstrates a good potential for real time use in a physician-patient scenario, with a response time of around 200ms in a Wi-Fi communications environment.
Databáze: OpenAIRE