Paper 2023/131

Some Practical Applications of Fully Homomorphic Encryption

Elisa Giurgea, Faculty of Computer Science, Alexandru Ioan Cuza University, Iasi, Romania
Tudor Hutu, Faculty of Computer Science, Alexandru Ioan Cuza University, Iasi, Romania
Emil Simion, Polytechnic University of Bucharest, Bucharest, Romania

In the current context of the increasing need for data privacy and quantum computing no longer being just a novel concept, Fully Homomorphic Encryption presents us with numerous quantum-secure schemes which have the concept of enabling data processing over encrypted data while not decrypting it behind. While not entirely usable at the present time, recent research has underlined its practical uses applied to databases, cloud computing, machine learning, e-voting, and IoT computing. In this paper, we are covering the current status of research and presenting the leading implemented solutions for subjects related to data privacy in the before-mentioned areas while emphasizing their positive results and possible drawbacks subsequently discovered by the research community.

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FHEapplications of FHEprivate query processingFHE for databasesFHE for cloud computingFHE for machine learning
Contact author(s)
elisa giurgea @ gmail com
tudorhutu2012 @ gmail com
emil simion @ upb ro
2023-03-22: withdrawn
2023-02-04: received
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