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

Authors :
Dongwoo Choi
Jisu Kim
Tuy Nguyen Tan
Yujin Hyun
Hanho Lee
Source :
2019 International SoC Design Conference (ISOCC).
Publication Year :
2019
Publisher :
IEEE, 2019.

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.

Details

Database :
OpenAIRE
Journal :
2019 International SoC Design Conference (ISOCC)
Accession number :
edsair.doi...........497535d50650e24f633b5d8e9c4a6804
Full Text :
https://doi.org/10.1109/isocc47750.2019.9078466