ISCAS OpenIR  > 信息安全国家重点实验室
statistically hiding sets
Prabhakaran Manoj; Xue Rui
2009
Conference NameCryptographers Track at the RSA Conference, CT-RSA 2009
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Conference DateApril 20,
Conference PlaceSan Francisco, CA, United states
Publish PlaceGermany
ISSN3029743
ISBN9783642008610
Department(1) Dept. of Computer Science, University of Illinois, Urbana-Champaign; (2) State Key Laboratory of Information Security Institute of Software, Chinese Academy of Sciences
English AbstractZero-knowledge set is a primitive introduced by Micali, Rabin, and Kilian (FOCS 2003) which enables a prover to commit a set to a verifier, without revealing even the size of the set. Later the prover can give zero-knowledge proofs to convince the verifier of membership/nonmembership of elements in/not in the committed set. We present a new primitive called Statistically Hiding Sets (SHS), similar to zeroknowledge sets, but providing an information theoretic hiding guarantee, rather than one based on efficient simulation. Then we present a new scheme for statistically hiding sets, which does not fit into the "Merkletree/ mercurial-commitment" paradigm that has been used for all zeroknowledge set constructions so far. This not only provides efficiency gains compared to the best schemes in that paradigm, but also lets us provide statistical hiding; previous approaches required the prover to maintain growing amounts of state with each new proof for such a statistical security. Our construction is based on an algebraic tool called trapdoor DDH groups (TDG), introduced recently by Dent and Galbraith (ANTS 2006). However the specific hardness assumptions we associate with TDG are different, and of a strong nature - strong RSA and a knowledge-ofexponent assumption. Our new knowledge-of-exponent assumption may be of independent interest.We prove this assumption in the generic group model.
KeywordInformation Theory
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8500
Collection信息安全国家重点实验室
Recommended Citation
GB/T 7714
Prabhakaran Manoj,Xue Rui. statistically hiding sets[C]. Germany,2009.
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