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Ring-LWE Based Face Encryption and Decryption System on a GPU
- 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.
- Subjects :
- Ring (mathematics)
Computer science
business.industry
Graphics processing unit
Cryptography
0102 computer and information sciences
02 engineering and technology
Parallel computing
Encryption
01 natural sciences
020202 computer hardware & architecture
CUDA
Computer Science::Graphics
010201 computation theory & mathematics
Face (geometry)
Computer Science::Multimedia
Computer Science::Mathematical Software
0202 electrical engineering, electronic engineering, information engineering
business
Learning with errors
Computer Science::Cryptography and Security
Subjects
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