Abstract
Abstract We discuss several protocols that apply secure multiparty computation to privacy preserving genetic testing. We categorize methods into those using oblivious finite automata, additive homomorphic encryption, garbled circuits, and private set intersection. Through comparison of performance and security metrics, we aim to make recommendations for efficient and secure multiparty computation protocols for various genetic tests including edit distance, disease susceptibility, identity/paternity/common ancestry testing, medicine and treatment efficacy for personalized medicine, and genetic compatibility.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have