Blockchain-Enabled Distributed Authentication Mechanism for Industrial Device Access

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2024-12-27 DOI:10.1109/TII.2024.3507201
Junjie Hu;Danfeng Sun;Wei Lu;Junwei Dong;Huifeng Wu
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Abstract

The secure access of numerous heterogeneous devices ensures the stability of the industrial Internet of Things. Centralized authentication can be overwhelmed by an influx of authentication requests from malicious devices. Distributed device-to-device authentication is vulnerable to tampering attack evidence. Blockchain authentication eases evidence tampering, but traditional blockchains impose high-performance requirements on devices, rendering them unsuitable for resource-limited devices. Therefore, in this article, we apply IOTA to device access authentication. To the best of authors' knowledge, this is the first application. Based on this, we propose a blockchain-enabled distributed authentication mechanism for industrial device access. The authentication involves a consensus phase based on optimized IOTA and a unique identification code validation phase. We optimized the tip selection algorithm of IOTA to make it faster and more stable. The performance experiment results demonstrate that our mechanism meets the time-consuming requirements of device access. The security experiments indicate that the authentication phases effectively intercept the attacks.
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基于区块链的工业设备接入分布式认证机制
海量异构设备的安全接入保证了工业物联网的稳定性。集中式身份验证可能会被来自恶意设备的大量身份验证请求所淹没。分布式设备到设备认证容易受到篡改攻击证据的攻击。区块链认证简化了证据篡改,但传统的区块链对设备提出了高性能要求,使得它们不适合资源有限的设备。因此,在本文中,我们将IOTA应用于设备访问认证。据作者所知,这是第一个应用程序。在此基础上,我们提出了一种支持区块链的工业设备访问分布式认证机制。身份验证包括基于优化IOTA的共识阶段和唯一识别码验证阶段。我们对IOTA的针尖选择算法进行了优化,使其更快、更稳定。性能实验结果表明,该机制能够满足设备访问的耗时要求。安全实验表明,认证阶段能够有效拦截攻击。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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