Properties of Zero-knowledge Proofs PDF Download

Author: Yair Oren
Publisher:
ISBN:
Category :
Languages : en
Pages : 80

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Author: Oded Goldreich
Publisher:
ISBN:
Category :
Languages : en
Pages : 31

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Author: Carl Pomerance
Publisher: Springer
ISBN: 3540481842
Category : Computers
Languages : en
Pages : 458

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Book Description
Zero-knowledge interactive proofsystems are a new technique which can be used as a cryptographic tool for designing provably secure protocols. Goldwasser, Micali, and Rackoff originally suggested this technique for controlling the knowledge released in an interactive proof of membership in a language, and for classification of languages [19]. In this approach, knowledge is defined in terms of complexity to convey knowledge if it gives a computational advantage to the receiver, theory, and a message is said for example by giving him the result of an intractable computation. The formal model of interacting machines is described in [19, 15, 171. A proof-system (for a language L) is an interactive protocol by which one user, the prover, attempts to convince another user, the verifier, that a given input x is in L. We assume that the verifier is a probabilistic machine which is limited to expected polynomial-time computation, while the prover is an unlimited probabilistic machine. (In cryptographic applications the prover has some trapdoor information, or knows the cleartext of a publicly known ciphertext) A correct proof-system must have the following properties: If XE L, the prover will convince the verifier to accept the pmf with very high probability. If XP L no prover, no matter what program it follows, is able to convince the verifier to accept the proof, except with vanishingly small probability.

Author: Balasubramanian, Kannan
Publisher: IGI Global
ISBN: 1522529160
Category : Computers
Languages : en
Pages : 321

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Cryptography is a field that is constantly advancing, due to exponential growth in new technologies within the past few decades. Applying strategic algorithms to cryptic issues can help save time and energy in solving the expanding problems within this field. Algorithmic Strategies for Solving Complex Problems in Cryptography is an essential reference source that discusses the evolution and current trends in cryptology, and it offers new insight into how to use strategic algorithms to aid in solving intricate difficulties within this domain. Featuring relevant topics such as hash functions, homomorphic encryption schemes, two party computation, and integer factoring, this publication is ideal for academicians, graduate students, engineers, professionals, and researchers interested in expanding their knowledge of current trends and techniques within the cryptology field.

Author: Alon Rosen
Publisher: Springer Science & Business Media
ISBN: 3540329390
Category : Computers
Languages : en
Pages : 191

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Protocols that remain zero-knowledge when many instances are executed concurrently are called concurrent zero-knowledge, and this book is devoted to their study. The book presents constructions of concurrent zero-knowledge protocols, along with proofs of security. It also shows why "traditional" proof techniques (i.e., black-box simulation) are not suitable for establishing the concurrent zero-knowledge property of "message-efficient" protocols.

Author: Carmit Hazay
Publisher: Springer Science & Business Media
ISBN: 3642143032
Category : Computers
Languages : en
Pages : 263

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Book Description
In the setting of multiparty computation, sets of two or more parties with p- vate inputs wish to jointly compute some (predetermined) function of their inputs. The computation should be such that the outputs received by the parties are correctly distributed, and furthermore, that the privacy of each party’s input is preserved as much as possible, even in the presence of - versarial behavior. This encompasses any distributed computing task and includes computations as simple as coin-tossing and broadcast, and as c- plex as electronic voting, electronic auctions, electronic cash schemes and anonymous transactions. The feasibility (and infeasibility) of multiparty c- putation has been extensively studied, resulting in a rather comprehensive understanding of what can and cannot be securely computed, and under what assumptions. The theory of cryptography in general, and secure multiparty computation in particular, is rich and elegant. Indeed, the mere fact that it is possible to actually achieve the aforementioned task is both surprising and intriguing.

Author: Dr. Amit Dua
Publisher: BPB Publications
ISBN: 9355519737
Category : Computers
Languages : en
Pages : 668

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Book Description
DESCRIPTION "Mastering Zero-knowledge Proofs" is your ultimate guide to blockchain and ZKPs. It connects blockchain's core elements, like distributed ledgers and smart contracts, to ZKPs' advanced privacy solutions, emphasizing their significance in today's digital world, and provides a robust understanding of how these cryptographic techniques can revolutionize security and privacy in various applications. In this book, you will explore the basics of blockchain and ZKPs. You will gain technical skills like group theory and elliptic curve cryptography. Each chapter covers practical applications of ZKPs in blockchain systems, addressing challenges, ongoing research, and real-world use cases across industries like healthcare and finance. You will find detailed explanations of SNARKs, STARKs, and PLONK, along with practical guidance on constructing and implementing these non-interactive proofs. You will learn about innovative solutions, zero-knowledge virtual machines, ZK-Rollups, and ZK-EVM, along with a step-by-step guide for building and deploying these technologies. By the end of this book, you will have a solid understanding of Zero-knowledge Proofs and their applications in blockchain development. You will be equipped to implement privacy-preserving solutions, enhancing security and efficiency in your projects, making you a competent contributor in the evolving blockchain space. KEY FEATURES ● In-depth exploration of Zero-knowledge Proof concepts and applications. ● Practical insights into implementing ZKP in real-world systems. ● Comprehensive coverage from blockchain basics to advanced cryptography. WHAT YOU WILL LEARN ● Understand the fundamentals of Zero-knowledge Proofs and blockchain. ● Construct and implement SNARKs, STARKs, and PLONK proofs. ● Apply Zero-knowledge Proofs to enhance security and privacy in applications. ● Utilize zero-knowledge virtual machines and ZK-Rollups. ● Integrate ZK-EVM into Ethereum for scalable solutions. ● Identify and overcome challenges in Zero-knowledge Proofs. WHO THIS BOOK IS FOR This book is ideal for blockchain developers, security professionals, and researchers with a foundational understanding of cryptography and blockchain technology. TABLE OF CONTENTS 1. Introduction to Blockchain Technology 2. Introduction to Zero-knowledge Proofs 3. Introduction to SNARKS 4. SNARK Construction: Non-interactive Proof Building 5. Advanced SNARK Paradigms and Techniques 6. SNARK versus STARK 7. SNARKs In-depth and PLONK 8. Zero-Knowledge Virtual Machines 9. ZK-Rollups: Scalability Meets Privacy 10. Conceptualizing ZK-EVM in Ethereum 11. ZK Swaps: Revolutionizing Decentralized Exchanges 12. Zero-Knowledge Identity 13. Challenges and Limitations of Zero-knowledge Proofs 14. Ongoing Research and Development in Zero-knowledge Proofs 15. Real-world Applications of Zero-knowledge Proofs

Author: Rajdeep Chakraborty
Publisher: John Wiley & Sons
ISBN: 1119764092
Category : Computers
Languages : en
Pages : 484

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Book Description
MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.

Author: Xiaoyun Wang
Publisher: Springer Science & Business Media
ISBN: 3642349617
Category : Computers
Languages : en
Pages : 791

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Book Description
This book constitutes the refereed proceedings of the 18th International Conference on the Theory and Application of Cryptology and Information Security, Asiacrypt 2012, held in Beijing, China, in December 2012. The 43 full papers presented were carefully reviewed and selected from 241 submissions. They are organized in topical sections named: public-key cryptography, foundation, symmetric cipher, security proof, lattice-based cryptography and number theory, hash function, cryptographic protocol, and implementation issues.

Author: Harmanpreet Singh Grover
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
"Zero-knowledge protocols provide a means by which a prover(s) can convince a verifier(s) that some statement is true without disclosing anything else. These zero-knowledge proofs provide an elegant solution to the problem of identifying oneself without disclosing any secrets. In this work, our primary focus is on the multi-prover practical relativistic zero-knowledge protocols for separated verifier-prover pairs. Initially, we illustrate that the experimental multi-prover zero-knowledge protocol described in the recent work \cite{alikhani2020experimental} is secure against classical provers. Then, we prove that this same protocol constitutes a proof of knowledge for the same language. Further, we show that the same protocol achieves a stronger zero-knowledge property by a pair of no-signalling simulators rather than signalling ones, as is usually the case. Security of the protocol is enforced via physical principle of special relativity"--