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Survey on Fully Homomorphic Encryption, Theory and Applications

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posted on 17.03.2022, 03:05 by Chiara MarcollaChiara Marcolla, Victor Sucasas, Marc Manzano, Riccardo Bassoli, Frank H.P. Fitzek, Najwa Aaraj
This paper comprehensively addresses homomorphic encryption from both theoretical and practical perspectives. The paper delves into the mathematical foundations required to understand fully homomorphic encryption FHE. It consequently covers design fundamentals and security properties of FHE, and describes the main FHE schemes based on various mathematical problems. On a more practical level, the paper presents a view on privacy-preserving Machine Learning using homomorphic encryption, then surveys FHE at length from an engineering angle, covering the potential application of FHE in fog computing, and cloud computing services. It also provides a comprehensive analysis of existing state-of-the-art FHE libraries and tools, implemented in software and hardware, and the performance thereof.

History

Email Address of Submitting Author

chiara.marcolla@tii.ae

ORCID of Submitting Author

0000-0001-8292-9830

Submitting Author's Institution

Technology Innovation Institute

Submitting Author's Country

United Arab Emirates