Autor: |
Stephen James Hardy, Arik Friedman, Roksana Boreli, Felix Lawrence, Mentari Djatmiko, Brian Thorne |
Rok vydání: |
2014 |
Předmět: |
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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 |
Externí odkaz: |
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