The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Computing arbitrary functions of encrypted data
Abstract
Suppose that you want to delegate the ability to process your data, without giving away access to it. We show that this separation is possible: we describe a "fully homomorphic" encryption scheme that keeps data private, but that allows a worker that does not have the secret decryption key to compute any (still encrypted) result of the data, even when the function of the data is very complex. In short, a third party can perform complicated processing of data without being able to see it. Among other things, this helps make cloud computing compatible with privacy.
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Cites
A method for obtaining digital signatures and public-key cryptosystems
Rivest, R. L., Shamir, A., & Adleman, L. (1978) · Communications of the ACM · doi:10.1145/359340.359342 · Cited by 13,462
Cited by
Privacy preservation in federated learning: An insightful survey from the GDPR perspective
Truong, N., Sun, K., Wang, S., Guitton, F., & Guo, Y. (2021) · Computers & Security · doi:10.1016/j.cose.2021.102402 · Cited by 399
A Survey of Provably Secure Searchable Encryption
Bösch, C., Hartel, P., Jonker, W., & Peter, A. (2015) · ACM Computing Surveys · doi:10.1145/2636328 · Cited by 357
Survey on Fully Homomorphic Encryption, Theory, and Applications
Marcolla, C., Sucasas, V., Manzano, M., Bassoli, R., Fitzek, F. H. P., & Aaraj, N. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3205665 · Cited by 323
The future of forecasting for renewable energy
Sweeney, C., Bessa, R. J., Browell, J., & Pinson, P. (2020) · WIREs Energy and Environment · doi:10.1002/wene.365 · Cited by 292
Generic Attacks on Secure Outsourced Databases
Kellaris, G., Kollios, G., Nissim, K., & O'Neill, A. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2976749.2978386 · Cited by 284
Metadata
- Authors
- Gentry, C.
- Venue
- Communications of the ACM
- Published
- 2010-03
- Volume
- 53
- Issue
- 3
- Pages
- 97-105
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W1971286892
- Cited by
- 650
- References
- 1
- FWCI
- 44.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
