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Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing

Authors :
Massachusetts Institute of Technology. Department of Mathematics
Smajlović, Haris
Shajii, Ariya
Berger, Bonnie
Cho, Hyunghoon
Numanagić, Ibrahim
Massachusetts Institute of Technology. Department of Mathematics
Smajlović, Haris
Shajii, Ariya
Berger, Bonnie
Cho, Hyunghoon
Numanagić, Ibrahim
Source :
BioMed Central
Publication Year :
2023

Abstract

Secure multiparty computation (MPC) is a cryptographic tool that allows computation on top of sensitive biomedical data without revealing private information to the involved entities. Here, we introduce Sequre, an easy-to-use, high-performance framework for developing performant MPC applications. Sequre offers a set of automatic compile-time optimizations that significantly improve the performance of MPC applications and incorporates the syntax of Python programming language to facilitate rapid application development. We demonstrate its usability and performance on various bioinformatics tasks showing up to 3–4 times increased speed over the existing pipelines with 7-fold reductions in codebase sizes.

Details

Database :
OAIster
Journal :
BioMed Central
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1370256626
Document Type :
Electronic Resource