区块链技术、当前挑战和人工智能驱动的解决方案综述

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2024-10-24 DOI:10.1145/3700641
Moetez Abdelhamid, Layth Sliman, Raoudha Ben Djemaa, Guido Perboli
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引用次数: 0

摘要

区块链具有多种优势,包括去中心化、数据完整性、可追溯性和不变性。然而,尽管区块链具有这些优势,但它也存在着很大的局限性,包括可扩展性、资源贪婪性、治理复杂性以及一些与安全相关的问题。这些局限性阻碍了其在主流应用中的采用。人工智能(AI)可以帮助解决其中的一些限制。本调查详细概述了为满足现有系统和应用的需求而提出的基于人工智能的不同区块链优化和改进方法、工具和方法论及其优点和缺点。之后,重点是提出基于人工智能的方向,以解决区块链的一些基本限制。
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A Review on Blockchain Technology, Current Challenges, and AI-Driven Solutions
Blockchain provides several advantages, including decentralization, data integrity, traceability, and immutability. However, despite its advantages, blockchain suffers from significant limitations, including scalability, resource greediness, governance complexity, and some security related issues. These limitations prevent its adoption in mainstream applications. Artificial Intelligence (AI) can help addressing some of these limitations. This survey provides a detailed overview of the different blockchain AI-based optimization and improvement approaches, tools and methodologies proposed to meet the needs of existing systems and applications with their benefits and drawbacks. Afterwards, the focus is on suggesting AI-based directions where to address some of the fundamental limitations of blockchain.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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