PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension

Area of Science:

• Genomics
• Computer Science
• Cryptography

Background:

• Genomic data applications are expanding in healthcare and research.
• Cloud computing for genomic data raises significant privacy and security concerns.

Purpose of the Study:

• To develop a secure and efficient framework for outsourced genetic testing.
• To address privacy and security challenges in cloud-based genomic data handling.

Main Methods:

• Implementation of a Software Guard Extension (SGX) based framework named PRESAGE.
• Integration of multiple cryptographic protocols and a minimal perfect hash scheme.
• Secure outsourcing of genetic testing data storage and computation.

Main Results:

• PRESAGE demonstrated superior performance compared to homomorphic encryption schemes.
• The framework exhibited minimal computational overhead relative to plaintext implementations.
• Experimental validation of secure and efficient genomic data outsourcing.

Conclusions:

• PRESAGE offers a viable solution for secure genomic data outsourcing in untrusted cloud environments.
• The hybrid framework combines secure hardware (SGX) with advanced cryptographic protocols.
• Provides an alternative for privacy-preserving genomic data analysis.