Towards Faster Fully Homomorphic Encryption Implementation with Integer and Floating-point Computing Power of GPUs

Author:

Fan Guang1,Zheng Fangyu1,Wan Lipeng1,Gao Lili2,Zhao Yuan3,Dong Jiankuo4,Song Yixuan3,Wang Yuewu5,Lin Jingqiang6

Affiliation:

1. Chinese Academy of Sciences,State Key Laboratory of Information Security, Institute of Information Engineering,Beijing,China

2. Nanjing University of Information Science and Technology,Department of Computer and Software,Nanjing,China

3. Ant Group,Hangzhou,China

4. Nanjing University of Posts and Telecommunications,School of Computer Science,Nanjing,China

5. University of Chinese Academy of Sciences,School of Cryptography,Beijing,China

6. University of Science and Technology of China,School of Cyber Security,Hefei,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

IEEE

Reference42 articles.

1. Intel HEXL

2. Implementing the Rivest Shamir and Adleman public key encryption algorithm on a standard digital signal processor;barrett;Conference on the Theory and Application of Cryptographic Techniques,1986

3. Comprehensive performance analysis of homomorphic cryptosystems for practical data processing;sidorov,2022

4. Implementation and Performance Evaluation of RNS Variants of the BFV Homomorphic Encryption Scheme

5. Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization

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