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Privacy-Preserving Statistical Analysis of Health Data Using Paillier Homomorphic Encryption and Permissioned Blockchain - 2019

Privacy-Preserving Statistical Analysis Of Health Data Using Paillier Homomorphic Encryption And Permissioned Blockchain

Research Area:  Blockchain Technology

Abstract:

Statistical analysis of health data is an essential task in healthcare. However, existing healthcare systems are incompatible with this critical need due to privacy restrictions. A recently emerged technology called Blockchain has shown great promise for mitigating this incompatibility. In this work, we aim to improve existing secure statistical analysis protocols by leveraging the blockchain technology. We propose a novel method that enables researchers to perform statistical analysis on health data in a privacy-preserving, secure, and precise manner.

Keywords:  

Author(s) Name:  Mahdi Ghadamyari; Saeed Samet

Journal name:  

Conferrence name:  IEEE International Conference on Big Data (Big Data)

Publisher name:  IEEE

DOI:  10.1109/BigData47090.2019.9006231

Volume Information: