| Y. Frankel, P. D. MacKenzie, and M. Yung. Adaptively-secure distributed public-key systems. In J. Nesetril, editor, European Symposium on Algorithms (ESA '99), volume 1643 of Lecture Notes in Computer Science, pages 4-27. Springer-Verlag, 1998. |
.... it is very likely that our methodology can be applied to showing security of other threshold discrete log based cryptosystems using the less expensive Pedersen s DKG used to construct in a generic fashion secure threshold versions of discrete log based schemes, was proposed by Frankel et al. in [FMY99] The DKG protocols proposed by Gennaro et al. and Frankel et al. are similar in spirit but the proposal of Gennaro et al. is more e#cient. protocol, if the security of the original centralized versions of these schemes can be reduced to the discrete logarithm assumption, the computational ....
....i.e. it outputs secret sharing of a private key x and a public Replacing computation on polynomial shares with computation on additive shares often seems necessary for the proof of security of a threshold protocol to go through. This technique was used before to handle an adaptive adversary in [FMY99, CGJ 99] or to handle the no erasure and concurrent adversary in [JL00] Threshold Signature Protocol TSch Inputs: Message m to be signed, plus the secret sharing of x generated by the initial Ped DKG protocol. In particular, each player P i holds an additive share x i of x while values y ....
Y. Frankel, P. D. MacKenzie, and M. Yung. Adaptively-secure distributed Public Key systems. In Algorithms -- ESA'99, 7th Annual European Symposium, Prague, pages 4--27, 1999. LNCS No. 1643
....number of parties it may corrupt. Constructing protocols that are provably secure against an adaptive adversary is a dicult task, because the adversary s corruption strategy is unknown and may depend upon public values as well as the internal states of the other corrupted parties. Frankel et al. [17] and Canetti et al. 7] have developed techniques for designing adaptively secure threshold cryptosystems, which were improved upon by Jarecki and Lysyanskaya [22] 9 This thesis will rst de ne the important notions and tools needed to develop secure protocols. It will then describe a simple ....
....than the static adversary model. We refrain from giving a precise formulation of the model in terms of multiparty computation because the de nitions are actually stricter than necessary for our threshold cryptographic protocols. However, the reader may see Canetti [6] for details. Frankel et al. [17] provide de nitions of the model and methodologies for proving adaptive security in many cryptographic settings (including ours) We summarize their results here. Recall that a t limited static adversary must choose at most t parties to corrupt before any protocols are executed. The adversary ....
Y. Frankel, M. Yung, and P. MacKenzie. Adaptively-secure distributed publickey systems. Lecture Notes in Computer Science, 1643:4{??, 1999.
....to do this translation without recurring to erasures but at the expense of a significant added complexity. Other recent work on the adaptive adversary model includes [Can98, CDD 99] Also, independently from our work, adaptively secure distributed cryptosystems have been recently studied in [FMY] 2 2 Technical Overview: Road map to Adaptive Security This section provides an overview of some basic technical elements in our work. It is intended as a high level introduction to some of the issues that underly the protocol design and proofs presented in this paper (without getting into a ....
Y. Frankel, P. MacKenzie, and M. Yung. Adaptively-secure distributed public-key systems. Personal communication with M.Yung.
....due to space considerations. Corollary 1. There exists an adaptively secure proactive DL based optimal resilient (t; l) threshold public key system. Corollary 2. There exists an adaptively secure DL based optimal resilient (t; l) threshold key generation system. In a companion paper (also [26]) we extend this work to key generation and proactive maintenance of RSA based systems, which require additional techniques. 2 Model and Definitions Our system consists of l servers S = fS 1 ; S l g. A server is corrupted if it is controlled by the adversary. When a server is corrupted, ....
Y. Frankel, P. D. MacKenzie, and M. Yung. Adaptively-secure distributed publickey systems. Preliminary report of this work, Oct. 7, 1998 (STOC '99 submission), 1998.
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Y. Frankel, P. D. MacKenzie, and M. Yung. Adaptively-secure distributed public-key systems. In J. Nesetril, editor, European Symposium on Algorithms (ESA '99), volume 1643 of Lecture Notes in Computer Science, pages 4-27. Springer-Verlag, 1998.
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Y. Frankel, P. MacKenzie, M. Yung, Adaptively secure distributed public-key systems, Theoretical Computer Science, Vol. 287, No. 2, September 2002.
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Y. Frankel, P. MacKenzie and M. Yung, Adaptively-Secure Distributed Public-Key Systems, Algorithms { proceedings of European Symposium on Algorithms (ESA '99), Lecture Notes in Computer Science volume 1643, Springer-Verlag, pp. 4-27, 1999.
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Y. Frankel, P. MacKenzie and M. Yung, Adaptively-Secure Distributed Public-Key Systems. In European Symposium on Algorithms (ESA '99), Springer LNCS 1643, pp. 4--27, 1999.
No context found.
Y. Frankel, P. MacKenzie and M. Yung, Adaptively-Secure Distributed Public-Key Systems, Algorithms -- proceedings of European Symposium on Algorithms (ESA '99), Lecture Notes in Computer Science volume 1643, Springer-Verlag, pp. 4--27, 1999.
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