Efficiency Analysis of TFHE Fully Homomorphic Encryption Software Library Based on GPU
| Autor: | Bin Wei, Wen-chao Liu, Wu-jun Yao, Hai-bin Yang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Software
business.industry Computer science 020204 information systems Computer Science::Mathematical Software 0202 electrical engineering electronic engineering information engineering Homomorphic encryption 02 engineering and technology Parallel computing business Computer Science::Cryptography and Security 020202 computer hardware & architecture |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030150341 AINA Workshops |
| DOI: | 10.1007/978-3-030-15035-8_9 |
| Popis: | There are a large number of independent matrix and vector operations in the lattice-based homomorphic encryption. These operations are suitable for GPU, which can greatly improve the efficiency of homomorphic operations. In this paper, we analyze the structure of the homomorphic encryption algorithm and verify the reliability of the homomorphic encryption software library, debug and analyze the fully homomorphic encryption software library TFHE and its corresponding GPU version cuFHE, and then compare their efficiency. The experimental results show that the GPU version TFHE is 4.5 times faster than the CPU version TFHE, so the GPU can greatly improve the homomorphic running speed of the homomorphic encryption scheme. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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