Efficient mutual authentication using Kerberos for resource constraint smart meter in advanced metering infrastructure

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Md. Mehedi Hasan, Noor Afiza Mohd Ariffin, N. F. M. Sani
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引用次数: 2

Abstract

Abstract The continuous development of information communication technology facilitates the conventional grid in transforming into an automated modern system. Internet-of-Things solutions are used along with the evolving services of end-users to the electricity service provider for smart grid applications. In terms of various devices and machine integration, adequate authentication is the key to an accurate source and destination in advanced metering infrastructure (AMI). Various protocols are deployed to lead the identification between two parties, which require high computation time and communicational bit operations for system development. Therefore, Kerberos-based authentication protocols were designed in this study with the assistance of elliptic curve cryptography to manage the mutual authentication between two parties and reduce the time and bit operations. The protocols were evaluated in a widely adopted tool, AVISPA, which builds an understanding of the proposed protocol and ensures mutual authentication without unauthorized knowledge. In addition, upon comparing security and performance assessments to the current schemes, it was found that the protocol in this study required less time and bits to transmit information. Consequently, it effectively provides multiple security features making it suitable for resource constraint smart meters in AMI.
在高级计量基础设施中使用Kerberos实现资源约束智能电表的高效相互认证
信息通信技术的不断发展促进了传统电网向自动化的现代化电网的转变。物联网解决方案与最终用户不断发展的服务一起用于智能电网应用的电力服务提供商。就各种设备和机器集成而言,在高级计量基础设施(AMI)中,充分的身份验证是准确的源和目的的关键。在系统开发过程中,需要大量的计算时间和通信位操作来实现双方的身份识别。因此,本文设计了基于kerberos的认证协议,借助椭圆曲线密码学来管理双方的相互认证,减少时间和比特操作。在广泛采用的工具AVISPA中对协议进行了评估,该工具建立了对拟议协议的理解,并确保在未经授权的情况下进行相互认证。此外,将安全性和性能评估与现有方案进行比较,发现本研究中的协议传输信息所需的时间和比特数更少。因此,它有效地提供了多种安全特性,使其适合AMI中的资源约束智能电表。
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来源期刊
Journal of Intelligent Systems
Journal of Intelligent Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
5.90
自引率
3.30%
发文量
77
审稿时长
51 weeks
期刊介绍: The Journal of Intelligent Systems aims to provide research and review papers, as well as Brief Communications at an interdisciplinary level, with the field of intelligent systems providing the focal point. This field includes areas like artificial intelligence, models and computational theories of human cognition, perception and motivation; brain models, artificial neural nets and neural computing. It covers contributions from the social, human and computer sciences to the analysis and application of information technology.
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