Paper 2017/246
An Analysis of FV Parameters Impact Towards its Hardware Acceleration
Joël Cathébras, Alexandre Carbon, Renaud Sirdey, and Nicolas Ventroux
Abstract
The development of cloud computing services is restrained by privacy concerns.
Centralized medical services for instance, require a guarantee of confidentiality when using outsourced computation platforms.
Fully Homomorphic Encryption is an intuitive solution to address such issue, but until 2009, existing schemes were only able to evaluate a reduced number of operations (Partially Homomorphic Encryption).
In 2009, C. Gentry proposed a blueprint to construct FHE schemes from SHE schemes.
However, it was not practical due to the huge data size overhead and the exponential noise growth of the initial SHE.
Since then, major improvements have been made over SHE schemes and their noise management, and resulting schemes, like BGV and FV, allow to foresee small applications.
Besides scheme improvements, new practical approaches were proposed to bring homomorphic encryption closer to practice.
The
Metadata
- Available format(s)
-
PDF
- Publication info
- Published elsewhere. Minor revision. WAHC'17 - 5th Workshop on Encrypted Computing and Applied Homomorphic Cryptography
- Keywords
- Homomorphic evaluationFV parametersChinese Remainder TheoremNumber Theorical Transform
- Contact author(s)
- joel cathebras @ cea fr
- History
- 2017-03-20: received
- Short URL
- https://ia.cr/2017/246
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2017/246, author = {Joël Cathébras and Alexandre Carbon and Renaud Sirdey and Nicolas Ventroux}, title = {An Analysis of {FV} Parameters Impact Towards its Hardware Acceleration}, howpublished = {Cryptology {ePrint} Archive, Paper 2017/246}, year = {2017}, url = {https://eprint.iacr.org/2017/246} }