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    Linear Zero-Knowledge - A note on Efficient Zero-Knowledge Proofs and Arguments

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    We present a zero-knowledge proof system for any NP language L, which allows showing that x is in L using communication corresponding to O(xsupc)+kO(|x| sup c)+k bit commitments, with error probability 2supk2 sup -k, and where c is a constant depending only on L. The proof can be based on any bit commitment scheme with a particular set of properties. We suggest an efficient implementation based on factoring. The protocol allows showing that a Boolean formula of size n is satisfiable, with error probability 2supn2 sup -n, using O(n) commitments. This is the first protocol for SAT that is linear in this sense. [The rest of the abstract was truncated and appears below -- the library.

    Proactive RSA

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    We consider a mobile adversary which may corrupt all participants throughout the lifetime of the system in a non-monotonic fashion (i.e. recoveries are possible) but the adversary is unable to corrupt too many participants during any short time period. Schemes resiliant to such adverasry are called proactive. We present a proactive RSA system in which a threshold of servers applies the RSA signature (or decryption) function in a distributed manner. Employing new combinatorial and elementary number theoretic techniques, our protocol enables the dynamic updating of the servers (which hold the RSA key distributively); it is secure even when a linear number of the servers are corrupted during any time period; it efficiently self-maintains the security of the function and its messages (ciphertexts or signatures); and it enables continuous availability, namely, correct function application using the shared key is possible at any time

    Visual Cryptography II: Improving the Contrast Via the Cover Base

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    In Eurocrypt\u2794 we proposed a a new type of cryptographic scheme, which can decode concealed images without any cryptographic computations, by placing two transparencies on top of each other and using the decoder\u27s (human) visual systems. One of the drawback of that proposal was a loss in contrast: a black pixel is translated in the reconstruction into a black region, but a white pixel is translated into a grey region (half black and half white). In this paper we propose am alternative model for reconstruction with a different set of operation (which we call the ``Cover semi-group) is proposed. In this model we are able to obtain a better contrast than is possible in the previous one. We prove tight bounds on the contrast as a function of the complexity of the scheme. We also show that for constructing k-out-n secret sharing schemes when n and k are greater than 2 the new method is not applicable

    The Graph Clustering Problem has a Perfect Zero-Knowledge Proof

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    The Graph Clustering Problem is parameterized by a sequence of positive integers, m1,...,mtm_1,...,m_t. The input is a sequence of i=1tmi\sum_{i=1}^{t}m_i graphs, and the question is whether the equivalence classes under the graph isomorphism relation have sizes which match the sequence of parameters. In this note we show that this problem has a (perfect) zero-knowledge interactive proof system

    On Monotone Function Closure of Statistical Zero-Knowledge

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    Assume we are given a language L with an honest verifier perfect zero-knowledge proof system. Assume also that the proof system is an Arthur-Merlin game with at most 3 moves. The class of such languages includes all random self-reducible language, and also any language with a perfect zero-knowledge non-interactive proof. We show that such a language satisfies a certain closure property, namely that languages constructed from L by applying certain monotone functions to statements on membership in L have perfect zero-knowledge proof systems. The new set of languages we can build includes L itself, but also for example languages consisting of n words of which at least t are in L. A similar closure property is shown to hold for the complement of L and for statistical zero-knowledge. The property we need for the monotone functions used to build the new languages is that there are efficient secret sharing schemes for their associated access structures. This includes (but is not necessarily limited to) all monotone functions with polynomial size monotone formulas

    Incoercible Multiparty Computation

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    Current secure multiparty protocols have the following deficiency. The public transcript of the communication can be used as an involuntary commitment of the parties to their inputs and outputs. Thus parties can be later coerced by some authority to reveal their private data. Previous work that has pointed this interesting problem out contained only partial treatment. In this work we present the first general and rigorous treatment of the coercion problem in secure computation. First we present a general definition of protocols that provide resilience to coercion. Our definition constitutes a natural extension of the general paradigm used for defining secure multiparty protocols. Next we show that if trapdoor permutations exist then any function can be incoercibly computed (i.e., computed by a protocol that provides resilience to coercion) in the presence of computationally bounded adversaries and only public communication channels. This holds as long as less than half the parties are coerced (or corrupted). In particular, ours are the first incoercible protocols without physical assumptions. Also, our protocols constitute an alternative solution to the recently solved adaptive security problem

    Upper bound on the communication complexity of private information retrieval

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    Private information retrieval was introduced by Chor, Goldreich, Kushilevitz and Sudan. It is the problem of reading a bit from the database so that it remains secret which bit we need. If the database exists in several identical copies, it is possible to ask queries so that each of copies alone does not get any information about the adress of the needed bit. We construct a scheme for private information retrieval with k databases and O(n sup (1/(2k-1)) ) bits of communication

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