Survey on Fully Homomorphic Encryption, Theory and Applications
- Chiara Marcolla ,
- Victor Sucasas ,
- Marc Manzano ,
- Riccardo Bassoli ,
- Frank H.P. Fitzek ,
- Najwa Aaraj
Chiara Marcolla
Technology Innovation Institute, Technology Innovation Institute, Technology Innovation Institute, Technology Innovation Institute, Technology Innovation Institute
Corresponding Author:[email protected]
Author ProfileAbstract
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.