FULLY HOMOMORPHIC ENCRYPTION BASED DATA ACCESS FRAMEWORK FOR PRIVACY-PRESERVING HEALTHCARE ANALYTICS
Date of Award
12-1-2021
Degree Name
Master of Science
Department
Computer Science
First Advisor
Sinha, Koushik
Abstract
The main aim of this thesis is to develop a library for integrating fully homomorphic encryption-based computations on a standard database. The fully homomorphic encryption is an encryption scheme that allows functions to be performed directly on encrypted data without the requirement of decrypting the data and yields the same results as if the functions were run on the plaintext. This implementation is a promising solution for preserving the privacy of the health care system, where millions of patients’ data are stored. The personal health care tools gather medical data and store it in a database. Upon importing this library into the database, the data that is being entered into the database is encrypted and the computations can be performed on the encrypted data without decrypting.
Access
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