Abstract
Exploitation of data for statistical or economic analyses is an important and rapidly growing area. In this article, we address the problem of privacy when data containing sensitive information are processed by a third party. In order to solve this problem, we propose a cryptographic protocol and we prove its security. The security analysis leads to introduce the new notion of generalized discrete logarithm problem. Our protocol has effectively been deployed within a network of more than 5000 pharmacies.
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Bonnecaze, A., Rolland, R. (2020). Blind Transfer of Personal Data Achieving Privacy. In: Daras, N., Rassias, T. (eds) Computational Mathematics and Variational Analysis. Springer Optimization and Its Applications, vol 159. Springer, Cham. https://doi.org/10.1007/978-3-030-44625-3_2
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DOI: https://doi.org/10.1007/978-3-030-44625-3_2
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