Conference proceeding
Secure Brightness/Contrast Filter using Fully Homomorphic Encryption
IPSN'15: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, pp.346-347
01 Jan 2015
Abstract
Performing signal processing via a distributed method while maintaining data privacy has great uses. We focus on this problem to a two party situation where the first one (client) has a signal needing to be processed and is computationally bounded and the second (server) has computational resources. As a client, revealing the signal unencrypted causes a violation of privacy. One solution to this problem is to process the signal while encrypted. Problems of this type have been attracting attention recently; particularly with the growing capabilities of cloud computing. This paper contributes to solving this type of problem by processing the signals in an encrypted form, using fully homomorphic encryption (FHE). Realization of this type of application was performed using a brightness/contrast filter as a simple form of signal processing. Three additional contributions of this manuscript includes (1) extending FHE to real numbers, (2) bounding the error related to the FHE process against the unencrypted variation of the process, and (3) increasing the practicality of FHE as a tool by using graphical processing units (GPU).
Metrics
3 Record Views
Details
- Title
- Secure Brightness/Contrast Filter using Fully Homomorphic Encryption
- Creators
- Thomas Shortell - Drexel UniversityAli Shokoufandeh - Drexel UniversityAssoc Comp Machinery
- Publication Details
- IPSN'15: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, pp.346-347
- Conference
- IPSN'15: 14TH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, 14th
- Publisher
- Assoc Computing Machinery
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Identifiers
- 991019167673604721
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web of Science research areas
- Engineering, Electrical & Electronic
- Instruments & Instrumentation