Paper 2023/504

Private Computation Based On Polynomial Operation

Shuailiang Hu, Huazhong University of Science and Technology
Abstract

Privacy computing is a collection of a series of technical systems that intersect and integrate many disciplines such as cryptography, statistics, artificial intelligence, and computer hardware. On the premise of not exposing the original data, it can realize the fusion, sharing, circulation and calculation of data and its value in a manageable, controllable and measurable way. In the case of ensuring that the data is not leaked, it can achieve the purpose of making the data available and invisible, as well as the conversion and release of data value. We propose a privacy computing algorithm based on polynomial operations based on the unsolvable problem of high-degree polynomial modulo n. Encryptors can encrypt their own private information to generate ciphertext that can be calculated. This ciphertext can support any integer calculation including addition, multiplication, power calculation, etc. Different ciphertexts generated by the same key are fully homomorphic, and addition and multiplication operations can be performed between these ciphertexts. All calculations in our encryption system are carried out with polynomials as the medium, so the calculation efficiency is guaranteed. Our ciphertext can be provided to a third party for processing without revealing the encryption party's key and secret information.

Note: The previous construction of FHE was wrong, so I am considering improving the technology. I give a structure for applying it to private computations. Hope you can provide me with some advice.(Thanks to all the researchers who gave me advice)

Metadata
Available format(s)
PDF
Category
Applications
Publication info
Preprint.
Keywords
Fully Homomorphic EncryptionLagrangian Interpolation PolynomialsSecure Multiparty Computation
Contact author(s)
HSL_03299319 @ 126 com
History
2023-05-05: last of 3 revisions
2023-04-07: received
See all versions
Short URL
https://ia.cr/2023/504
License
Creative Commons Attribution-NonCommercial
CC BY-NC

BibTeX

@misc{cryptoeprint:2023/504,
      author = {Shuailiang Hu},
      title = {Private Computation Based On Polynomial Operation},
      howpublished = {Cryptology ePrint Archive, Paper 2023/504},
      year = {2023},
      note = {\url{https://eprint.iacr.org/2023/504}},
      url = {https://eprint.iacr.org/2023/504}
}
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