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Public-key cryptosystems provably secure against chosen ciphertext attacks
Open accessAbstract
We show how to construct a public-key cryptosystem (as originally defined by DiNe and Hellman) secure against chosen ciphertezt attacks, given a public-key cryptosystern secure against passive eavesdropping and a noninteractive zero-knowledge proof system in the shared string model.No such secure cryptosystems were known before.A concrete implementation can be based on quadratic residuosity intractability.
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Citations
Cited by
Efficient Selective-ID Secure Identity-Based Encryption Without Random Oracles
Boneh, D., & Boyen, X. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24676-3_14 · Cited by 1,766
Lossy Trapdoor Functions and Their Applications
Peikert, C., & Waters, B. (2011) · SIAM Journal on Computing · doi:10.1137/080733954 · Cited by 649
A Survey of Homomorphic Encryption for Nonspecialists
Fontaine, C., & Galand, F. (2007) · EURASIP Journal on Information Security · doi:10.1155/2007/13801 · Cited by 438
Canetti, R., Dwork, C., Naor, M., & Ostrovsky, R. (1997) · Lecture Notes in Computer Science · doi:10.1007/bfb0052229 · Cited by 348
Self-citationvon Ahn, L., & Hopper, N. J. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24676-3_20 · Cited by 147
Metadata
- Authors
- Naor, M., & Yung, M.
- Venue
- Proceedings of the twenty-second annual ACM symposium on Theory of computing - STOC '90
- Publisher
- ACM Press
- Published
- 1990
- Pages
- 427-437
- OpenAlex
- W2073210531
- Cited by
- 1,088
- References
- 0
- FWCI
- 4.53
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Public-key cryptosystems provably secure against chosen ciphertext attacks. https://app.cochat.ai/papers/10.1145/100216.100273
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- Naor, M., & Yung, M. (1990). Public-key cryptosystems provably secure against chosen ciphertext attacks. Proceedings of the twenty-second annual ACM symposium on Theory of computing - STOC '90. https://doi.org/10.1145/100216.100273
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.