We explore the possible ways modern cryptographic methods can be applied to the field of medical data analysis. Current systems require large computational facilities owned by the data owners or excessive trust given to the researchers. We implement one possible solution in which researchers operate directly on homomorphically encrypted data and the data owner decrypts the results. We test our implementation on large datasets and show that it is sufficiently practical that it could be a helpful tool for modern researchers. We also perform a heuristic analysis of the security of our system.
CITATION STYLE
Kaptchuk, G., Green, M., & Rubin, A. (2017). Outsourcing medical dataset analysis: A possible solution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10322 LNCS, pp. 98–123). Springer Verlag. https://doi.org/10.1007/978-3-319-70972-7_6
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