使用公钥基础设施建立基于区块链的物联网服务的信任

IF 4.4 4区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
W. Viriyasitavat, Lida Xu, Assadaporn Sapsomboon, G. Dhiman, D. Hoonsopon
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引用次数: 16

摘要

摘要硬件、软件和互联网基础设施的进步导致智能物联网(IoT)设备的数量不断增加。与此同时,由于物联网范围和大众通信的不断发展,安全问题越来越引起我们的关注。信任服务供应商取决于他们生成信息和提供执行的设备。区块链成为一个有吸引力的选择,其被广泛采用就是明证。然而,信任基于物联网的服务成为一个重要问题,因为基于区块链的物联网(BIoT)服务的实施是专有和独立的。本文介绍了一种通用的体系结构设计,它结合了公钥基础设施(PKI)来建立对BIoT服务的信任。这可以潜在地解决信任问题,并且基于我们的实验,它可以很好地扩展。我们还展示了规范语言在表达需求方面的作用。它将用户与区块链脱钩,因此他们可以在没有深入知识的情况下指定BIoT服务的质量来使用区块链。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building trust of Blockchain-based Internet-of-Thing services using public key infrastructure
ABSTRACT The advancement of hardware, software, and Internet infrastructure leads to the increasing quantities of smart Internet of Things (IoT) devices. Meanwhile, security issues have increasingly brought to us the concerns due to the evolving IoT scope and mass communications. Trusting service vendors depends on their devices that generate information and provide executions. Blockchain becomes an attractive choice, as evidenced by its wide adoptions. However, trusting IoT-based services becomes an important issue since the implementation of Blockchain-based IoT (BIoT) services is proprietary and independent. This paper introduces a generic architecture design that incorporates Public Key Infrastructure (PKI) to establish trust of BIoT services. This can potentially solve the trust problem and based on our experiment it can be scaled well. We also demonstrate how specification languages can be useful to express requirements. It decouples users from Blockchain and thus they can specify qualities of BIoT services without deep knowledge to work with Blockchain.
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来源期刊
Enterprise Information Systems
Enterprise Information Systems 工程技术-计算机:信息系统
CiteScore
11.00
自引率
6.80%
发文量
24
审稿时长
6 months
期刊介绍: Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.
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