A clinical research organization is processing highly sensitive personal data, including numerical attributes, from medical trial results. The…

Homomorphic encryption allows computation on encrypted data without needing to decrypt it,

thereby preserving privacy. This means that sensitive data, such as numerical attributes from medical

trial results, can be processed and analyzed while remaining encrypted. The results of the

computations are still in an encrypted form and can be decrypted only by authorized parties. This

method is particularly valuable in scenarios requiring privacy-preserving computations.

Reference:

NISTIR 8105, Report on Post-Quantum Cryptography.

Craig Gentry's Ph.D. thesis on fully homomorphic encryption, Stanford University.