Efficient NewHope Cryptography Based Facial Security System on a GPU

Phap Duong-Ngoc, Tuy Nguyen Tan, Hanho Lee
2020 IEEE Access  
With explosive era of machine learning development, human data, such as biometric images, videos, and particularly facial information, have become an essential training resource. The popularity of video surveillance systems and growing use of facial images have increased the risk of leaking personal information. On the other hand, traditional cryptography systems are still expensive, time consuming, and low security, leading to be threatened by the foreseeable attacks of quantum computers. This
more » ... paper proposes a novel approach to fully protect facial images extracted from videos based on a post-quantum cryptosystem named NewHope cryptography. Applying the proposed technique to arrange input data for encryption and decryption processes significantly reduces encryption and decryption times. The proposed facial security system was successfully accelerated using data-parallel computing model on the recently launched Nvidia GTX 2080Ti Graphics Processing Unit (GPU). Average face frame extracted from video (190 × 190 pixel) required only 2.2 ms and 2.7 ms total encryption and decryption times with security parameters n = 1024 and n = 2048, respectively, which is approximately 9 times faster than previous approaches. Analysis results of security criteria proved that the proposed system offered comparable confidentiality to previous systems. INDEX TERMS Cryptosystem, facial security system, graphics processing unit, NewHope, public-key encryption. 108158 This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ VOLUME 8, 2020 P. Duong-Ngoc et al.: Efficient NewHope Cryptography-Based Facial Security System on a GPU FIGURE 1. Post-quantum cryptography based facial security system.
doi:10.1109/access.2020.3000316 fatcat:q65ylsrh25fvbedbdk77fduzy4