A New Public-Key Cryptosystem as Secure as Factoring
By Tatsuaki Okamoto, S. Uchiyama. 1998
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Dan Boneh
- Ivan Bjerre Damgård
- Craig Gentry
- Abbas Acar
- Jens Groth
- Yehuda Lindell
- Brent Waters
- Yuval Ishai
Citations in the corpus
- A Review of Homomorphic Encryption Libraries for Secure Computation (2018, background): “Partially Homomorphic Encryption (PHE) schemes such as [9,10,11,12,13,14,15,16,17,18,19] allow only one type of operation any number of times - either addition or multiplication on encrypted data as compared to Somewhat Homomorphic schemes that support both.”
- A Survey on Homomorphic Encryption Schemes (2017, methodology): “There are several useful PHE examples [Rivest et al. 1978b; Goldwasser and Mi-cali 1982; ElGamal 1985; Benaloh 1994; Naccache and Stern 1998; Okamoto and Uchiyama 1998; Paillier 1999; Damgård and Jurik 2001; Kawachi et al. 2007] in the literature.”
- Le chiffrement asymétrique et la sécurité prouvée (2002, background): “Cela provient en fait de leur résistance face aux multiples attaques qui ont été mises en œuvre depuis plus de 20 ans [16,17].”
- Efficient Proofs that a Committed Number Lies in an Interval (2000, methodology): “Charlie and Deborah use the Okamoto-Uchiyama [18] rC C mod n C , where r C is randomly selected over Z * nC .”
- Non-interactive cryptocomputing for NC/sup 1/ (1999, background): “Recently, [ 31 , 33] introduced homomorphic encryption schemes over different groups.”
- Privacy-preserving SVM classification (2008, unknown): “There are several homorphic encryption systems such as the Goldwasser–Micali cryptosystem [5], the Benaloh cryptosystem [4], the Naccache–Stern cryptosystem[25], the Paillier cryptosystem [28], and the Okamoto–Uchiyama cryptosystem [26], any of which can be used in practice.”
- Structure-Preserving Signatures and Commitments to Group Elements (2010, background): “Homomorphic cryptosystems such as [ElG86, OU98 , Pai99, BGN05] or Linear Encryption [BBS04] can be seen as homomorphic commitment schemes that are perfectly binding and computationally hiding.”
- A Certifying Compiler for Zero-Knowledge Proofs of Knowledge Based on Sigma-Protocols (2010, unknown): “For instance, it can be used to prove knowledge of the content of ciphertexts under the Cramer/Shoup [50] or the RSA [51] encryption schemes, and many others [52,53,54,55,56].”
- Public-Key Cryptosystems Based on Composite Degree Residuosity Classes (1999, background): “Later, Naccache and Stern [16], and independently Okamoto and Uchiyama [19] significantly extended the encryption rate by investigating two different approaches: residuosity of smooth degree in Zpq and residuosity of prime degree p in Z ∗ pq respectively.”
- Privacy-preserving Naïve Bayes classification (2008, methodology): “The key idea behind the protocol is to use a homomorphic encryption system such as the Goldwasser– Micali cryptosystem [4], the Benaloh cryptosystem [3], the Naccache–Stern cryptosystem [30], the Paillier cryptosystem [34], and the Okamoto–Uchiyama cryptosystem [33].”
- Modern Cryptography: Theory and Practice (2003, background): “The reader is referred to [229, 224, 228] for the technical details.”
- A new public key cryptosystem based on higher residues (1998, result): “After the completion of the present work, we have been informed that another homomorphic probabilistic encryption scheme, using moduli n of the form p2q, where p and q are primes, had been found by Okamoto and Uchiyama (see [22]), achieving an expansion rate similar to ours.”
- Semi-Homomorphic Encryption and Multiparty Computation (2011, methodology): “These include: the Okamoto-Uchiyama cryptosystem [ OU98 ]; Paillier cryptosystem [Pai99] and its generalization by Damg˚ ard and Jurik [DJ01]; Regev’s LWE based cryptosystem [Reg05]; the scheme of Damg˚ ard, Geisler and Kroigaard [DGK09] based on a subgroup-decision problem; the subset-sum based sch”
- Practical multi-candidate election system (2001, methodology): “A solution is to use a trapdoor discrete logarithm scheme with large band- width such as Naccache-Stern [22], Okamoto-Uchiyama [26], or Paillier [27].”
- Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning (2016, methodology): “For example, some representative additively homomorphic encryption schemes are Okamoto-Uchiyama [40], Pallier [41] and Damard-Jurik [42] while RSA [37] and ElGamal [43] are representatives of the multiplicatively homomorphic encryption schemes.”
- Sharing Decryption in the Context of Voting or Lotteries (2000, background): “Most homomorphic cryptosystems as Goldwasser-Micali's 11], Benaloh's 1, 4], Naccache-Stern's 12], Okamoto-Uchiyama's 13] or Paillier's 14] cryptosystems need to distribute a secret value related to the factorization of an RSA modulus.”
- Evaluating 2-DNF Formulas on Ciphertexts (2005, methodology): “The system resembles the Paillier [28] and the Okamoto-Uchiyama [27] encryption schemes.”