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Overlapped Bootstrapping for FHEW/TFHE and Its Application to SHA3
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- Title
- Overlapped Bootstrapping for FHEW/TFHE and Its Application to SHA3
- Issued Date
- 2025-04-15
- Citation
- Financial Cryptography and Data Security, pp.367 - 384
- Type
- Conference Paper
- ISBN
- 9783032070241
- ISSN
- 0302-9743
- Abstract
-
Homomorphic Encryption (HE) enables operations on encrypted data without requiring decryption, thus allowing secure handling of confidential data within smart contracts. Among the known HE schemes, FHEW and TFHE are particularly notable for use in smart contracts due to their lightweight nature and support for arbitrary logical gates. In contrast, other HE schemes often require several gigabytes of keys and are limited to supporting only addition and multiplication. As a result, many studies have been conducted on implementing smart contract functionalities over HE, broadening the potential applications of blockchain technology. However, a significant drawback of the FHEW/TFHE schemes is the need for bootstrapping after the execution of each binary gate. While bootstrapping reduces noise in the ciphertext, it also becomes a performance bottleneck due to its computational complexity. In this work, we propose an efficient new bootstrapping method for FHEW/TFHE that takes advantage of the flexible scaling factors of encrypted data. The proposed method is particularly beneficial in circuits with consecutive XOR gates. Moreover, we implement Keccak using FHEW/TFHE, as it is one of the most important functions in smart contracts. Our experimental results demonstrate that the proposed method reduces the runtime of Keccak over HE by 42%. Additionally, the proposed method does not require additional keys or parameter sets from the key-generating party and can be adopted by the computing party without the need for any extra information. © International Financial Cryptography Association 2026.
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- Publisher
- International Financial Cryptography Association
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Related Researcher
- Kim, Young-Sik김영식
-
Department of Electrical Engineering and Computer Science
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