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Efficient generation of shared RSA keys
- Advances in Cryptology -- CRYPTO 97
, 1997
"... We describe efficient techniques for a number of parties to jointly generate an RSA key. At the end of the protocol an RSA modulus N = pq is publicly known. None of the parties know the factorization of N. In addition a public encryption exponent is publicly known and each party holds a share of the ..."
Abstract
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Cited by 112 (4 self)
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We describe efficient techniques for a number of parties to jointly generate an RSA key. At the end of the protocol an RSA modulus N = pq is publicly known. None of the parties know the factorization of N. In addition a public encryption exponent is publicly known and each party holds a share of the private exponent that enables threshold decryption. Our protocols are efficient in computation and communication. All results are presented in the honest but curious settings (passive adversary).
Security of Biased Sources for Cryptographic Keys
, 2001
"... Cryptographic schemes are based on keys which are highly involved in granting their security. It is in general assumed that the source producing these keys has uniformly distribution, that is, it produces keys from a given key space with equal probability. Consequently, deviations from uniform distr ..."
Abstract
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Cryptographic schemes are based on keys which are highly involved in granting their security. It is in general assumed that the source producing these keys has uniformly distribution, that is, it produces keys from a given key space with equal probability. Consequently, deviations from uniform distribution of the key source may be regarded a priori as a potential security breach, even if no dedicated attack is known, which might take advantage of these deviations. We propose in this paper a model for biased key sources and show that it is possible to prove some results about tolerance of biases, which have the property of being inherent to the bias itself and not requiring assumptions about unknown attacks, using these biases. The model is based on comparing the average case complexities of generic attacks to some number theoretical problems, with respect to uniform and to biased distributions. We also show the connection to information entropy based analysis of biased ...

