@inproceedings{f5186ec95faa4f988abd0e66b11cee89,
title = "Ring-LWE Based Face Encryption and Decryption System on a GPU",
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.",
keywords = "cryptography, decryption, encryption, graphics processing unit, ring-LWE",
author = "Tan, {Tuy Nguyen} and Yujin Hyun and Jisu Kim and Dongwoo Choi and Hanho Lee",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 16th International System-on-Chip Design Conference, ISOCC 2019 ; Conference date: 06-10-2019 Through 09-10-2019",
year = "2019",
month = oct,
doi = "10.1109/ISOCC47750.2019.9078466",
language = "English (US)",
series = "Proceedings - 2019 International SoC Design Conference, ISOCC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "15--16",
booktitle = "Proceedings - 2019 International SoC Design Conference, ISOCC 2019",
}