IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Song-Kyoo Kim, Hou Cheng Vong
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引用次数: 0

摘要

近几十年来,区块链应用层出不穷,其中区块链安全网络是一种普遍应用。本文介绍了区块链技术安全网络在提升各个领域的潜力,并对当前的区块链应用前景进行了结构性分析,捕捉到了区块链技术的实际应用和潜力。在背景概述之后,按六个应用领域对区块链安全网络的最新进展进行了调查分析:车载 Ad-Hoc、医疗保健、智能家居、无人机 (UAV)、物联网 (IoT) 和工业物联网网络。报告深入探讨了区块链安全网络中的这些关键研究课题,加深了人们对其在多个学科中的应用和影响的理解。研究报告从整体上传达了区块链安全网络的多功能性,突出了其在各个实际领域的巨大应用潜力。对区块链安全网络的最新进展进行了全面的结构化调查分析,并按应用领域进行了分类。通过对当前区块链应用趋势的全面了解,本文使读者能够有效地浏览信息并确定感兴趣的关键领域,从而促进在区块链技术领域的进一步探索和研究机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secured Network Architectures Based on Blockchain Technologies: A Systematic Review
Blockchain applications have emerged in recent decades, among which blockchain secured-networks serve as a prevalent application. This paper provides the potential of networks secured by blockchain technology to enhance various domains and provides a structured view of the current landscape of blockchain applications, capturing the practical applications and potential of blockchain technology. Followed by a background overview, a survey analysis of the latest advancements in blockchain-secured networks is presented, categorized by six application fields: Vehicular Ad-Hoc, Health Care, Smart Home, Unmanned Aerial Vehicle (UAV), Internet of Things (IoT), and Industrial IoT Networks. An in-depth discussion on these key research topics within blockchain-secured networks is provided, enhancing understanding of their application and influence across multiple disciplines. The study overall conveys the versatility of blockchain-secured networks, highlighting their immense potential for application in various practical fields. A comprehensive structured survey analysis of recent advancements in blockchain-secured networks is conducted, and categorized by application fields. By providing a comprehensive understanding of the current trends in blockchain application, this paper enables readers to navigate information effectively and identify key areas of interest, facilitating further exploration and research opportunities in the field of blockchain technology.
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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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