On Diophantine Complexity and Statistical Zero-Knowledge Arguments 1st edition by ISBN Helger Lipmaa – Ebook PDF Instant Download/Delivery. 3540205920, 978-3540205920
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ISBN 10: 3540205920
ISBN 13: 978-3540205920
Author: Helger Lipmaa
We show how to construct practical honest-verifier statistical zero-knowledge Diophantine arguments of knowledge (HVSZK AoK) that a committed tuple of integers belongs to an arbitrary language in bounded arithmetic. While doing this, we propose a new algorithm for computing the Lagrange representation of nonnegative integers and a new efficient representing polynomial for the exponential relation. We apply our results by constructing the most efficient known HVSZK AoK for non-negativity and the first constant-round practical HVSZK AoK for exponential relation. Finally, we propose the outsourcing model for cryptographic protocols and design communication-efficient versions of the Damgård-Jurik multi-candidate voting scheme and of the Lipmaa-Asokan-Niemi (b+1)st-price auction scheme that work in this model.
On Diophantine Complexity and Statistical Zero-Knowledge Arguments 1st Table of contents:
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Introduction
- 1.1 Overview of Diophantine Complexity
- 1.2 Introduction to Statistical Zero-Knowledge Arguments
- 1.3 Motivation for Exploring the Connection Between Diophantine Complexity and Zero-Knowledge Arguments
- 1.4 Contributions of the Paper
- 1.5 Paper Organization
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Preliminaries
- 2.1 Diophantine Equations: Definitions and Properties
- 2.2 Diophantine Complexity and Its Computational Implications
- 2.3 Zero-Knowledge Protocols: Definitions and General Properties
- 2.4 Statistical Zero-Knowledge: A Deeper Look
- 2.5 Complexity Classes in Cryptography and Number Theory
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Diophantine Complexity
- 3.1 Classical Diophantine Problems and Their Complexity
- 3.2 Computational Hardness of Diophantine Equations
- 3.3 Diophantine Complexity Classes
- 3.4 Connections to Other Cryptographic Problems
- 3.5 Diophantine Complexity and Its Role in Cryptography
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Statistical Zero-Knowledge Arguments
- 4.1 Foundations of Zero-Knowledge Protocols
- 4.2 Statistical Zero-Knowledge (SZK) Definition and Framework
- 4.3 SZK Arguments vs. SZK Proofs
- 4.4 Applications of Statistical Zero-Knowledge Arguments
- 4.5 Efficient Implementation of SZK Arguments
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Linking Diophantine Complexity with Statistical Zero-Knowledge Arguments
- 5.1 Theoretical Background on the Interplay Between Number Theory and Cryptographic Protocols
- 5.2 Using Diophantine Complexity to Strengthen Zero-Knowledge Arguments
- 5.3 Diophantine Complexity as a Tool for Designing Statistical Zero-Knowledge Arguments
- 5.4 Applications of Diophantine Complexity in Zero-Knowledge Proof Systems
- 5.5 Computational Implications of Diophantine Complexity in SZK Protocols
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Security Considerations and Cryptographic Implications
- 6.1 Security of Diophantine-Based Statistical Zero-Knowledge Arguments
- 6.2 Resistance to Attacks on SZK Protocols
- 6.3 Cryptographic Assumptions and Their Impact on Zero-Knowledge Arguments
- 6.4 Potential Vulnerabilities and Mitigations
- 6.5 Enhancing Security with Diophantine Complexity in Cryptographic Systems
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Applications and Case Studies
- 7.1 Diophantine Complexity in Cryptographic Protocols
- 7.2 SZK Arguments in Practical Cryptographic Systems
- 7.3 Examples of Real-World Implementations Using Diophantine Complexity and SZK Arguments
- 7.4 Comparison with Other Cryptographic Models
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Extensions and Future Research
- 8.1 Generalizing Diophantine Complexity to Other Cryptographic Contexts
- 8.2 Combining Statistical Zero-Knowledge with Other Cryptographic Techniques
- 8.3 Open Problems and Future Directions for Research
- 8.4 The Role of Diophantine Complexity in Quantum Cryptography
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Conclusion
- 9.1 Summary of Findings and Contributions
- 9.2 Impact of Diophantine Complexity on Cryptographic Theory and Practice
- 9.3 Concluding Remarks on Future Directions
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