Cited by 7,250Cryptography and Data SecurityCryptography and Residue ArithmeticCoding theory and cryptography

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Public-Key Cryptosystems Based on Composite Degree Residuosity Classes

Paillier, Pascal·2007·Lecture Notes in Computer Science

DOI 10.1007/3-540-48910-x_16

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New directions in cryptography
Diffie, W., & Hellman, M. (1976) · IEEE Transactions on Information Theory · doi:10.1109/tit.1976.1055638 · Cited by 14,713
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
A method for obtaining digital signatures and public-key cryptosystems
Rivest, R. L., Shamir, A., & Adleman, L. (1983) · Communications of the ACM · doi:10.1145/357980.358017 · Cited by 13,012
A public key cryptosystem and a signature scheme based on discrete logarithms
Elgamal, T. (1985) · IEEE Transactions on Information Theory · doi:10.1109/tit.1985.1057074 · Cited by 8,059
Random oracles are practical
Bellare, M., & Rogaway, P. (1993) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/168588.168596 · Cited by 4,695
A Public-Key Cryptosystem Based On Algebraic Coding Theory
McEliece, R. J. (1978) · Deep Space Network Progress Report · Cited by 1,578
Public-Key Cryptography
Mollin, R. A. (2005) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420035087-10 · Cited by 914
Hiding information and signatures in trapdoor knapsacks
Merkle, R. C., & Hellman, M. E. (1978) · IEEE Transactions on Information Theory · doi:10.1109/tit.1978.1055927 · Cited by 825
A secure and optimally efficient multi‐authority election scheme
Cramer, R., Gennaro, R., & Schoenmakers, B. (1997) · European Transactions on Telecommunications · doi:10.1002/ett.4460080506 · Cited by 788
A new public-key cryptosystem as secure as factoring
Okamoto, T., & Uchiyama, S. (1998) · Lecture notes in computer science · doi:10.1007/bfb0054135 · Cited by 674

Show all 33 references

Research works printed but not linked: 2

S. Goldwasser and S. Micali, Probabilistic Encryption, JCSS Vol. 28 No 2, pp. 270–299, 1984.
J. Patarin, The Oil and Vinegar Algorithm for Signatures, presented at the Dagstuhl Workshop on Cryptography, 1997.

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Authors: Paillier, P.
Affiliations: Télécom Paris (FR)
Corresponding author: Paillier, Pascal
Venue: Lecture Notes in Computer Science
Publisher: Springer Berlin Heidelberg
Published: 2007-10-10
Pages: 223-238
DOI: 10.1007/3-540-48910-x_16
OpenAlex: W2132172731
Cited by: 7,250
References: 33
Citations by year: 2026: 199 · 2025: 370 · 2024: 434 · 2023: 429 · 2022: 445 · 2021: 493 · 2020: 476 · 2019: 469 · 2018: 493 · 2017: 447 · 2016: 398 · 2015: 363 · 2014: 336 · 2013: 344 · 2012: 263
FWCI: 147.26
Type: conference paper
Language: en
Open access: closed
Locations: Springer eBooks (publishedVersion)
Topics: Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
Physical Sciences › Computer Science › Information Systems › Cryptography and Residue Arithmetic
Physical Sciences › Mathematics › Discrete Mathematics and Combinatorics › Coding theory and cryptography
Keywords: public-key cryptography, trapdoor permutations, homomorphic encryption, probabilistic encryption, modular arithmetic, standard model security

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Public-Key Cryptosystems Based on Composite Degree Residuosity Classes

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