Journal article
Secure signal processing using fully homomorphic encryption
IET information security, v 14(1)
Jan 2020
Abstract
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).
Metrics
Details
- Title
- Secure signal processing using fully homomorphic encryption
- Creators
- Thomas Shortell - Drexel UniversityAli Shokoufandeh - Drexel University
- Publication Details
- IET information security, v 14(1)
- Publisher
- The Institution of Engineering and Technology
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000504266400006
- Scopus ID
- 2-s2.0-85077199531
- Other Identifier
- 991019167461104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods