Logo image
Back
Secure Brightness/Contrast Filter using Fully Homomorphic Encryption
Conference proceeding

Secure Brightness/Contrast Filter using Fully Homomorphic Encryption

Thomas Shortell, Ali Shokoufandeh and Assoc Comp Machinery
IPSN'15: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, pp 346-347
01 Jan 2015
DOI: https://doi.org/10.1145/2737095.2742922

Abstract

Engineering Engineering, Electrical & Electronic Instruments & Instrumentation Science & Technology Technology
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

5 Record Views

Details

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Web of Science research areas
Engineering, Electrical & Electronic
Instruments & Instrumentation
Logo image