Secure signal processing using fully homomorphic encryption
In a world becoming dependent on cloud computing, multiple and many techniques are needed to meet security and privacy requirements. This study investigates using Fully Homomorphic Encryption (FHE) in the cloud for a set of signal processing algorithms. Using FHE provides a level of security and pri...
Saved in:
Published in | IET information security Vol. 14; no. 1; pp. 51 - 59 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
The Institution of Engineering and Technology
01.01.2020
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | In a world becoming dependent on cloud computing, multiple and many techniques are needed to meet security and privacy requirements. This study investigates using Fully Homomorphic Encryption (FHE) in the cloud for a set of signal processing algorithms. Using FHE provides a level of security and privacy for cloud computing. This research implements a framework with a set of real number processing formats that allows FHE to be used in the cloud. Developing formats for real numbers is required because FHE operates over integers. Both a fixed point binary format and a rational number format are implemented to allow for real number processing. Experimentally, the framework is implemented and verified with three algorithms: fast Fourier transform, speeded up robust features, and histogram of oriented gradients. Each implementation is bounded with error caused by the formats and examined against images (two-dimensional signals). |
---|---|
ISSN: | 1751-8709 1751-8717 1751-8717 |
DOI: | 10.1049/iet-ifs.2019.0157 |