Medha: Microcoded Hardware Accelerator for computing on Encrypted Data
Homomorphic encryption enables computation on encrypted data, and hence it has a great potential in privacy-preserving outsourcing of computations to the cloud. Hardware acceleration of homomorphic encryption is crucial as software implementations are very slow. In this paper, we present design met...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ruhr-Universität Bochum
2022-11-01
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| Series: | Transactions on Cryptographic Hardware and Embedded Systems |
| Subjects: | |
| Online Access: | https://tches.iacr.org/index.php/TCHES/article/view/9959 |