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Aug 1, 1998·SIAM Journal on Computing
5 cites
Computational Complexity and Knowledge Complexity

Oded Goldreich, Rafail Ostrovsky, Erez Petrank

We study the computational complexity of languages which have interactive proofs of logarithmic knowledge complexity. We show that all such languages can be recognized in ${\cal BPP}^{\cal NP}$. Prior to this work, for languages with greater-than-zero knowledge complexity only trivial computational complexity bounds were known. In the course of our proof, we relate statistical knowledge complexity to perfect knowledge complexity; specifically, we show that, for the honest verifier, these hierarchies coincide up to a logarithmic additive term.

Computability, Logic, AI Algorithms
Logic, Reasoning, and Knowledge
Benford’s Law and Fraud Detection
Original source
Jan 29, 1998·Lecture notes in computer science
302 cites
Proving in Zero-Knowledge that a Number is the Product of Two Safe Primes

Jan Camenisch, Markus Michels

<p>This paper presents the first efficient statistical zero-knowledge protocols to prove statements such as:<br />A committed number is a pseudo-prime.<br />A committed (or revealed) number is the product of two safe primes, i.e., primes p and q such that (p - 1)=2 and (q - 1)=2 are primes as well.<br />A given value is of large order modulo a composite number that consists of two safe prime factors.</p><p>So far, no methods other than inefficient circuit-based proofs are known for proving such properties. Proving the second property is for instance necessary in many recent cryptographic schemes that rely on both the hardness of computing discrete logarithms and of difficulty computing roots modulo a composite.<br />The main building blocks of our protocols are statistical zero-knowledge proofs that are of independent interest. Mainly, we show how to prove the correct computation of a modular addition, a modular multiplication, or a modular exponentiation, where all values including the modulus are committed but not<br />publicly known. Apart from the validity of the computation, no other information about the modulus (e.g., a generator which order equals the modulus) or any other operand is given. Our technique can be generalized to prove in zeroknowledge<br />that any multivariate polynomial equation modulo a certain modulus is satisfied, where only commitments to the variables of the polynomial and a commitment to the modulus must be known. This improves previous results,<br />where the modulus is publicly known.<br />We show how a prover can use these building blocks to convince a verifier that a committed number is prime. This finally leads to efficient protocols for proving that a committed (or revealed) number is the product of two safe primes. As a consequence, it can be shown that a given value is of large order modulo a<br />given number that is a product of two safe primes.</p><p> </p><p>Keywords. RSA-based protocols, zero-knowledge proofs of knowledge, primality tests.</p>

Open access
3 source records
Cryptography and Data Security
Complexity and Algorithms in Graphs
Cloud Data Security Solutions
Original source
Jan 1, 1998·Gems of Theoretical Computer Science
0 cites
Interactive Proofs and Zero Knowledge

Uwe Schöning, Randall Pruim

No abstract is available for this record.

Cryptography and Data Security
Complexity and Algorithms in Graphs
Computability, Logic, AI Algorithms
Original source
Jun 15, 1996·BRICS Report Series
13 cites
Statistical Secrecy and Multi-Bit Commitments

Ivan Damgård, Torben Pryds Pedersen, Birgit Pfitzmann

<p>We present and compare definitions of the notion of "statistically<br />hiding" protocols, and we propose a novel statistically hiding commitment<br />scheme. Informally, a protocol statistically hides a secret if a<br />computationally unlimited adversary who conducts the protocol with<br />the owner of the secret learns almost nothing about it. One definition<br />is based on the L1-norm distance between probability distributions,<br />the other on information theory. We prove that the two definitions are<br />essentially equivalent. For completeness, we also show that statistical<br />counterparts of definitions of computational secrecy are essentially<br />equivalent to our main definitions. Commitment schemes are an important<br /> cryptologic primitive. Their purpose is to commit one party to a certain value,<br /> while hiding this value from the other party until some later time.<br /> We present a statistically<br />hiding commitment scheme allowing commitment to many<br />bits. The commitment and reveal protocols of this scheme are constant<br />round, and the size of a commitment is independent of the number of<br />bits committed to. This also holds for the total communication complexity,<br />except of course for the bits needed to send the secret when it<br />is revealed. The proof of the hiding property exploits the equivalence<br />of the two definitions.</p><p>Index terms -- Cryptology, Shannon theory, unconditional security,<br />statistically hiding, multi-bit commitment, similarity of ensembles<br />of distributions, zero-knowledge, protocols.</p><p> </p>

Open access
Wireless Communication Security Techniques
Benford’s Law and Fraud Detection
Computability, Logic, AI Algorithms
Original source
Nov 1, 1995·Journal of the ACM
13 cites
Subquadratic zero-knowledge

Joan Boyar, Gilles Brassard, René Peralta

The communication complexity of zero-knowledge proof systems is improved. Let C be a Boolean circuit of size n. Previous zero-knowledge proof systems for the satisfiability of C require the use of Omega (kn) bit commitments in order to achieve a probability of undetected cheating not greater than 2/sup -k/. In the case k=n, the communication complexity of these protocols is therefore Omega (n/sup 2/) bit commitments. A zero-knowledge proof is given for achieving the same goal with only O(n/sup m/+k square root n/sup m/) bit commitments, where m=1+ epsilon /sub n/ and epsilon /sub n/ goes to zero as n goes to infinity. In the case k=n, this is O(n square root n/sup m/). Moreover, only O(k) commitments need ever be opened, which is interesting if committing to a bit is significantly less expensive than opening a commitment.>

Open access
3 source records
Complexity and Algorithms in Graphs
Cryptography and Data Security
Computability, Logic, AI Algorithms
Original source
Jan 1, 1994·Information Security and Cryptology
0 cites
A Brif Survey of Zero-Knowledge Proofs

Hyungong Shin

In cryptography, the notion of zero-knowledge is important. It is also related to complexity theory. In this paper we briefly survey the zero-knowledge proofs in the literature. 1987 Maathematics Subject Classification: 69D56, 69E30, 69F21, Keywords and phrases: interactive proofs, zero-kniwledge, cryptography, complexity theiry.

graph theory and CDMA systems
Computability, Logic, AI Algorithms
Complexity and Algorithms in Graphs
Original source
Jan 1, 1993·Proceedings of the 1st ACM conference on Computer and communications security - CCS '93
4,706 cites
Random oracles are practical

Mihir Bellare, Phillip Rogaway

We argue that the random oracle model—where all parties have access to a public random oracle—provides a bridge between cryptographic theory and cryptographic practice. In the paradigm we suggest, a practical protocol P is produced by first devising and proving correct a protocol PR for the random oracle model, and then replacing oracle accesses by the computation of an “appropriately chosen” function h. This paradigm yields protocols much more efficient than standard ones while retaining many of the advantages of provable security. We illustrate these gains for problems including encryption, signatures, and zero-knowledge proofs.

Open access
Cryptography and Data Security
Complexity and Algorithms in Graphs
Computability, Logic, AI Algorithms
Original source
Dec 1, 1991·SIAM Journal on Computing
285 cites
Noninteractive Zero-Knowledge

Manuel Blum, Alfredo De Santis, Silvio Micali, Giuseppe Persiano

This paper investigates the possibility of disposing of interaction between prover and verifier in a zero-knowledge proof if they share beforehand a short random string. Without any assumption, it is proven that noninteractive zero-knowledge proofs exist for some number-theoretic languages for which no efficient algorithm is known. If deciding quadratic residuosity (modulo composite integers whose factorization is not known) is computationally hard, it is shown that the NP-complete language of satisfiability also possesses noninteractive zero-knowledge proofs.

Cryptography and Data Security
Complexity and Algorithms in Graphs
Computability, Logic, AI Algorithms
Original source
Sep 1, 1991·Journal of Symbolic Logic
0 cites
Review: Shafi Goldwasser, Silvio Micali, Charles Rackoff, The Knowledge Complexity of Interactive Proof Systems ; Oded Goldreich, Silvio Micali, Avi Wigderson, J. Gruska, B. Rovan, J. Wiedermann, Proofs that Release Minimum Knowledge ; Oded Goldreich, Rolf Herken, Randomness, Interactive Proofs, and Zero-Knowledge--A Survey

Lance Fortnow

No abstract is available for this record.

Computability, Logic, AI Algorithms
Numerical Methods and Algorithms
Original source
Mar 12, 1990·Computerkultur
12 cites
Randomness, Interactive Proofs, and Zero-Knowledge — A Survey

Oded Goldreich

Abstract Abstract. Recent approaches to the notions of randomness and proofs are surveyed. The new notions differ from the traditional ones in being subjective to the capabilities of the observer rather than reflecting “ideal” entities. The new notion of randomness regards probability distributions as equal if they cannot be told apart by efficient procedures. This notion is constructive and is suited for many applications. The new notion of a proof allows the introduction of the notion of zero-knowledge proofs: convincing arguments which yield nothing but the validity of the assertion. The new approaches to randomness and proofs are based on basic concepts and results from the theory of resource-bounded computation. Elements of this theory are presented only to the extent required for the description of the new approaches. This survey is not intended to provide an account of the more traditional approaches to randomness (e.g., Kolmogorov Complexity; see also Bennett’s account in this volume) and proofs (i.e., traditional logic systems). Whenever these approaches are described it is only in order to confront them with the new approaches.

2 source records
Computability, Logic, AI Algorithms
Cryptography and Data Security
Logic, Reasoning, and Knowledge
Original source
Jan 1, 1990·Proceedings of the twenty-second annual ACM symposium on Theory of computing - STOC '90
94 cites
Perfect zero-knowledge in constant rounds

Mihir Bellare, Silvio Micali, Rafail Ostrovsky

Quadratic residuosity and graph isomorphism are classic problems and the canonical examples of zero-knowledge languages. However, despite much research effort, all previous zero-knowledge proofs for them required either unproven complexity assumptions or an unbounded number of rounds of message exchange.

Open access
2 source records
Cryptography and Data Security
Complexity and Algorithms in Graphs
Computability, Logic, AI Algorithms
Original source
Jan 1, 1990·Foundations of Computer Science
89 cites
Multiple Non-Interactive Zero Knowledge Proofs Based on a Single Random String (Extended Abstract)

Uriel Feige, Dror Lapidot, Adi Shamir

In the present study, we investigated how the symmetry/asymmetry of cell division in mitotic CD34(+) cells can be evaluated by determining the plane of cell division and the potential distribution of proteins between daughter cells. The orientation of the mitotic spindle is dependent upon the positioning of the centrosomes, which determine the plane of cell division and the sharing of proteins. If the functions of unequally shared proteins are relevant to the kinetics of cell division, they could determine whether the daughter cells undergo self-renewal or differentiation. The kinetic function of the proteins of interest was investigated using a colony-replating assay and carboxyfluorescein succinimidyl ester (CFSE) staining. We used Notch/Numb as a model system, since they have a role in balancing symmetric/asymmetric divisions. Mitotic cells were examined microscopically and centrosomal markers γ-tubulin/pericentrin were used with activated Notch-1 and Numb. We monitored the first crucial divisions by CFSE staining and found an inverse relationship between activated Notch and Numb expression, suggesting a reciprocal regulation. We suggest that the subpopulations expressing activated Notch or Numb have different cell fates. To determine the influence of Notch signaling on progenitor cell self-renewal, we used the γ-secretase inhibitor N-[N-(3,5-Difluorophenacetyl-L-alanyl)]-S-phenylglycine t-Butyl ester (DAPT). DAPT influences self-renewal/differentiation outcome by affecting the frequency of symmetric renewal divisions without affecting the rate of divisions. Overall, the purpose of this study was to establish a cellular system for predicting the symmetry/asymmetry of hematopoietic progenitor divisions at the level of centrosomes and protein distribution and to investigate the influence of these proteins on progenitor cell kinetics.

Machine Learning and Algorithms
Computability, Logic, AI Algorithms
Rough Sets and Fuzzy Logic
Original source
Oct 1, 1987·Information security and cryptography
11 cites
Zero-Knowledge Proofs

Johannes Sedlmeir, Steffen Schwalm

Zero knowledge protocols provide a way of proving that a statement is true without revealing anything other than the correctness of the claim. Zero knowledge protocols have practical applications in cryptography and are used in many applications. While some applications only exist on a specification level, a direction of research has produced real-world applications. Zero knowledge protocols, also referred to as zero knowledge proofs, are a type of protocol in which one party, called the prover, tries to convince the other party, called the verifier, that a given statement is true. Sometimes the statement is that the prover possesses a particular piece of information. This is a special case of zero knowledge protocol called a zero-knowledge proof of knowledge. Formally, a zero-knowledge proof is a type of interactive proof.

13 source records
Computability, Logic, AI Algorithms
Cryptography and Data Security
Advanced Authentication Protocols Security
Original source
Oct 1, 1986·27th Annual Symposium on Foundations of Computer Science (sfcs 1986)
106 cites
Non-transitive transfer of confidence: A perfect zero-knowledge interactive protocol for SAT and beyond

Gilles Brassard, Claude Crépeau

A perfect zero-knowledge interactive proof is a protocol by which Alice can convince Bob of the truth of some theorem in a way that yields no information as to how the proof might proceed (in the sense of Shannon's information theory). We give a general technique for achieving this goal for any problem in NP (and beyond). The fact that our protocol is perfect zero-knowledge does not depend on unproved cryptographic assumptions. Furthermore, our protocol is powerful enough to allow Alice to convince Bob of theorems for which she does not even have a proof. Whenever Alice can convince herself probabilistically of a theorem, perhaps thanks to her knowledge of some trap-door information, she can convince Bob as well without compromising the trap-door in any way. This results in a non-transitive transfer of confidence from Alice to Bob, because Bob will not be able to subsequently convince someone else that the theorem is true. Our protocol is dual to those of [GMW1, BC].

Cryptography and Data Security
Logic, Reasoning, and Knowledge
Computability, Logic, AI Algorithms
Original source
Jan 1, 1985·SIAM Journal on Computing
3,269 cites
The Knowledge Complexity of Interactive Proof Systems

Shafi Goldwasser, Silvio Micali, Charles Rackoff

Abstract. Usually, a proof of a theorem contains more knowledge than the mere fact that the theorem is true. For instance, to prove that a graph is Hamiltonian it suffices to exhibit a Hamiltonian tour in it; however, this seems to contain more knowledge than the single bit Hamiltonian/non-Hamiltonian. In this paper a computational complexity theory of the "knowledge " contained in a proof is developed. Zero-knowledge proofs are defined as those proofs that convey no additional knowledge other than the correctness of the proposition in question. Examples of zero-knowledge proof systems are given for the languages of quadratic residuosity and quadratic nonresiduosity. These are the first examples of zeroknowledge proofs for languages not known to be efficiently recognizable. Key words, cryptography, zero knowledge, interactive proofs, quadratic residues AMS(MOS) subject classifications. 68Q15, 94A60 1. Introduction. It is often regarded that saying a language L is in NP (that is, acceptable in nondeterministic polynomial time) is equivalent to saying that there is a polynomial time "proof system " for L. The proof system we have in mind is one where on input x, a "prover " creates a string a, and the "verifier " then computes on x and a in time polynomial in the length of the binary representation of x to check that

3 source records
Cryptography and Data Security
Complexity and Algorithms in Graphs
Computability, Logic, AI Algorithms
Original source
Jan 1, 1981·Journal of Philosophy of Education
5 cites
Preface

Ruy de Queiroz, Luiz Carlos Pereira, Edward Hermann Hæusler

This volume contains the Proceedings of the 10th Workshop on Logic, Language, Information and Computation (WoLLIC'2003). The Workshop was held in Ouro Preto, Minas Gerais, Brazil from July 29 to August 1, 2003, in the Escola de Minas of the Universidade Federal de Ouro Preto ( UFOP ). WoLLIC is a series of workshops which started in 1994 with the aim of fostering interdisciplinary research in pure and applied logic . The idea is to provide a forum which is large enough in the number of possible interactions between logic and the sciences related to information and computation, and yet is small enough to allow for concrete and useful interaction among participants. Previous versions were held at: Recife (Pernambuco, Brazil) in 1994 and 1995; Salvador (Bahia, Brazil) in 1996; Fortaleza (Ceará, Brazil) in 1997; São Paulo (Brazil) in 1998; Itatiaia (Rio de Janeiro, Brazil) in 1999; Natal (Rio Grande do Norte) in 2000; Brasília (Distrito Federal, Brazil) in 2001; Rio de Janeiro (Brazil) in 2002. Scientific sponsorship comes from the Interest Group in Pure and Applied Logics ( IGPL ), the European Association for Logic, Language and Information ( FoLLI ), the Association for Symbolic Logic ( ASL ), European Association for Theoretical Computer Science ( EATCS ), the Sociedade Brasileira de Computação ( SBC ), and the Sociedade Brasileira de Lógica ( SBL ). Funding was kindly given by:(i) CNPq ( Conselho Nacional de Desenvolvimento Científico e Tecnológico , the scientific and technological development council of the Brazilian Ministério da Ciência e Tecnologia ) (grant 450709/2003-5);(ii) CAPES ( Fundação Coordenação de Apoio ao Aperfeiçoamento de Pessoal de Nível Superior , a Foundation for the Development of Higher-Education under the Brazilian Ministério da Educação e do Desporto ) (grant PAEP0565/03);(iii) FAPEMIG ( Fundação de Amparo à Pesquisa do Estado de Minas Gerais , the Minas Gerais state foundation for the support of scientific research);(iv) Escola de Minas da UFOP ( Universidade Federal de Ouro Preto ). Contributions were received in the form of short papers in all areas related to logic, language, information and computation, including:pure logical systems, proof theory, model theory, algebraic logic, type theory, category theory, constructive mathematics, lambda and combinatorial calculi, program logic and program semantics, logics and models of concurrency, logic and complexity theory, proof complexity, foundations of cryptography (zero-knowledge proofs), descriptive complexity, nonclassical logics, nonmonotonic logic, logic and language, discourse representation, logic and artificial intelligence, automated deduction, foundations of logic programming, logic and computation, and logic engineering. Apart from the contributed papers (15), and the invited talks (5), the programme includes 5 tutorial lectures: 1. Algorithmic Randomness and Derandomization by Eric Allender (Department of Computer Science, Rutgers, the State University of New Jersey, USA) 2. Generalized Quantifiers by Lauri Hella (Department of Mathematics, Statistics and Philosophy, University of Tampere, Finland) 3. Implicit computational complexity by Jean-Baptiste Joinet (Preuves-Programmes-Systèmes, Université Paris 7, France) 4. Proof search foundations for logic programming by Dale Miller (INRIA/Futurs/Saclay, and Laboratoire d'Informatique, École Polytechnique, France) 5. Iterated theory change by Hans Rott (Institut für Philosophie, Universität Regensburg, Germany) All papers in the volume were reviewed by the program committee consisting of Mauricio Ayala-Rinóon ( Departamento de Matemática, Universidade de Brasília, Brazil ) Argimiro Arratia ( Depto. Matematicas, Universidad Simon Bolivar, Venezuela ) Alessandra Carbone ( Institut des Hautes Études Scientifiques, and Université de Paris XII, France ) Marcelo Coniglio ( Centro de Lógica e Epistemologia, Universidade Estadual de Campinas, Brazil ) Gilles Dowek ( INRIA, France ) Arnaud Fleury ( Facoltà di Scienze, Università di Verona, Italy ) Dexter Kozen ( Cornell University, USA ) Maarten Marx ( ILLC, Faculty of Science, Universiteit Amsterdam, The Netherlands ) Anto˚nio Carlos da Rocha Costa ( Escola de Informática, Universidade Católica de Pelotas, Brazil ) Dieter Spreen ( Fachbereich Mathematik, Theoretische Informatik, Universität Siegen, Germany ) Luiz Carlos Pereira ( Departamento de Filosofia, PUC-Rio and UFRJ, Brazil ) Jouko Väänänen ( Department of Mathematics, University of Helsinki, Finland ) Renata Wassermann ( Departamento de Cie˚ncia da Computação, Instituto de Matemática e Estatística, Universidade de São Paulo, Brazil ) The organising committee consisted of Lucília Figueiredo ( Departamento de Computação, Universidade Federal de Ouro Preto, Brazil ) Fred Ulisses Maranhão ( Centro de Informática, Universidade Federal de Pernambuco, Brazil ) Anjolina Grisi de Oliveira ( Center of Informatics, Universidade Federal de Pernambuco, Brazil ) Elaine Pimentel ( Departamento de Matemática, Universidade Federal de Minas Gerais, Brazil ) (Co-Chair) Ruy de Queiroz ( Center of Informatics, Universidade Federal de Pernambuco, Brazil ) (Co-Chair) Maria Angela Weiss ( Departamento de Matemática, Universidade de São Paulo, Brazil ) The volume will be published as volume 84 in the series Electronic Notes in Theoretical Computer Science ( ENTCS ). This series is published electronically through the facilities of Elsevier B.V. and its auspices. The volumes in the ENTCS series can be accessed at the URL http://www.elsevier.nl/locate/entcs A printed version of the current volume has been distributed to the participants at the workshop in Ouro Preto. We are very grateful to the following persons, whose help has been crucial for the success of WoLLIC'2003: Mike Mislove, one of the Managing Editors of the ENTCS series, for his assistance with the use of the ENTCS style files; Thanks are also due to the Department of Mathematics of Universidade Federal de Minas Gerais and the Department of Computing of the Universidade Federal de Ouro Preto, which has provided the logistic support to the organising committee. August 2, 2003 Ruy de Queiroz, Elaine Pimentel, Lucilia Figueiredo

Open access
11 source records
Religious Education and Schools
Education and Critical Thinking Development
Catholicism and Religious Studies
Original source