GPU를 이용한 LWE 기반 양자 내성 암호의 병렬화 및 성능 분석

목차 (Table of Contents)

• 요약
• ABSTRACT
• Ⅰ. 서론
• Ⅱ. FrodoKEM
• Ⅲ. 2종의 플랫폼에서의 FrodoKEM 성능
• Ⅳ. GPU를 이용하여 최적화된 FrodoKEM 성능 분석
• Ⅴ. 결론
• References

참고문헌 (Reference)

1 M. Dustin, "The 2nd round of the NIST PQC standardization process" 2019

2 G. Alagic, "Status report on the second round of the NIST Post-Quantum cryptography standardization process" NIST 2020

3 F. Arute, "Quantum supremacy using a programmable superconducting processor" 574 (574): 505-510, 2019

4 "PQCrypto-LWEKE"

5 S. Akleylek, "On the efficiency of polynomial multiplication for lattice-based cryptography on GPUs using CUDA" Springer 155-168, 2015

6 O. Regev, "On lattices, learning with errors, random linear codes, and cryptography" 56 (56): 1-40, 2009

7 W. Dai, "NTRU modular lattice signature scheme on CUDA GPUs" 501-508, 2016

8 "Khadas VIM2 Pro board"

9 E. Alkim, "FrodoKEM: Learning With Errors Key Encapsulation"

10 P. Jurcevic, "Demonstration of quantum volume 64 on a superconducting quantum computing system"

11 NVIDIA, "CUDA C++ programming guide,”PG-02829-001_v11.0"

12 P. W. Shor, "Algorithms for quantum computation : discrete logarithms and factoring" 124-134, 1994

13 T. Bai, "Accelerating NTRU encryption with graphics processing units" 2 (2): 250-258, 2014

14 Y. Kim, "A study on the GPU-based accelerated implementation of LWE-based post-quantum Cryptography in NIST submissions" 628-629, 2020