Ring-LWE Based Face Encryption and Decryption System on a GPU

Tuy Nguyen Tan, Yujin Hyun, Jisu Kim, Dongwoo Choi, Hanho Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

This paper presents a novel method to implement ring learning with errors (ring-LWE) cryptography for video-based face encryption and decryption on a graphics processing unit (GPU). By conducting ring arithmetic operations in parallel on a GPU, the processing time of these operations is significantly reduced. Consequently, ring-LWE encryption and decryption operations are remarkably improved. The simulation results conducted on GPU and CPU platforms using CUDA C++ show that the ring-LWE based face encryption and decryption operations implemented on a GPU are approximately 100 times faster than that implemented on a CPU.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 International SoC Design Conference, ISOCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages15-16
Number of pages2
ISBN (Electronic)9781728124780
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event16th International System-on-Chip Design Conference, ISOCC 2019 - Jeju, Korea, Republic of
Duration: Oct 6 2019Oct 9 2019

Publication series

NameProceedings - 2019 International SoC Design Conference, ISOCC 2019
Volume2019-January

Conference

Conference16th International System-on-Chip Design Conference, ISOCC 2019
Country/TerritoryKorea, Republic of
CityJeju
Period10/6/1910/9/19

Keywords

  • cryptography
  • decryption
  • encryption
  • graphics processing unit
  • ring-LWE

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Instrumentation
  • Artificial Intelligence
  • Hardware and Architecture

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