区块链系统集合累加器综述

IF 13.3 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Matteo Loporchio, Anna Bernasconi, Damiano Di Francesco Maesa, Laura Ricci
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引用次数: 0

摘要

集合累加器是加密原语,用于表示具有单个常量大小值的任意大的元素集合,并有效地验证值是否属于该集合。累加器支持成员证明的生成,这意味着它们可以证明给定值在集合的元素中的存在。在本文中,我们概述了集合累加器的理论概念,从复杂性的角度比较了最流行的构造,并调查了它们与区块链技术相关的一些应用。特别是,我们关注四种不同的用例:查询身份验证、无状态事务验证、匿名性增强和身份管理。对于这些场景中的每一种,我们都会研究它们引入的主要问题,并讨论文献中提出的最相关的基于累加器的解决方案。最后,我们指出了提案之间的共同方法,并强调了每个领域目前悬而未决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey of set accumulators for blockchain systems

Set accumulators are cryptographic primitives used to represent arbitrarily large sets of elements with a single constant-size value and to efficiently verify whether a value belongs to that set. Accumulators support the generation of membership proofs, meaning that they can certify the presence of a given value among the elements of a set. In this paper we present an overview of the theoretical concepts underlying set accumulators, we compare the most popular constructions from a complexity perspective, and we survey a number of their applications related to blockchain technology. In particular, we focus on four different use cases: query authentication, stateless transactions validation, anonymity enhancement, and identity management. For each of these scenarios, we examine the main problems they introduce and discuss the most relevant accumulator-based solutions proposed in the literature. Finally, we point out the common approaches between the proposals and highlight the currently open problems in each field.

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来源期刊
Computer Science Review
Computer Science Review Computer Science-General Computer Science
CiteScore
32.70
自引率
0.00%
发文量
26
审稿时长
51 days
期刊介绍: Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.
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