Emas: an efficient MLWE-based authentication scheme for advanced metering infrastructure in smart grid environment

3区 计算机科学 Q1 Computer Science Journal of Ambient Intelligence and Humanized Computing Pub Date : 2024-09-02 DOI:10.1007/s12652-024-04852-5
Noureddine Chikouche, Fares Mezrag, Rafik Hamza
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Abstract

Advanced metering infrastructure (AMI) plays a critical role in the smart grid by integrating metering systems with communication capabilities, especially for the industrial internet of things. However, existing authentication protocols have proven ineffective against quantum computing attacks and are computationally intensive since AMI contains limited computing components, such as smart meters. In this paper, we present a novel, efficient module learning with errors-based authentication and key agreement system for AMI, which we call EMAS. As part of the security measures of EMAS, Kyber Post-Quantum Public Key Encryption, a one-time pad mechanism, and hash functions are used. A formal and informal analysis of the security features is presented, showing that the proposed system is secure and resistant to known attacks. The performance analysis of our proposed EMAS on a B-L475E-IOT01A node equipped with a ARM Cortex M4 microcontroller shows that EMAS is more efficient than existing relevant schemes. About the computation time, EMAS takes 15.693 ms. This result is lower than other existing relevant schemes.

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Emas:基于 MLWE 的高效认证方案,适用于智能电网环境中的高级计量基础设施
高级计量基础设施(AMI)将计量系统与通信功能集成在一起,在智能电网中发挥着至关重要的作用,尤其是在工业物联网中。然而,现有的身份验证协议已被证明无法有效抵御量子计算攻击,而且由于 AMI 包含有限的计算组件(如智能电表),因此需要大量计算。在本文中,我们为 AMI 提出了一种新颖、高效、基于错误的模块学习认证和密钥协议系统,我们称之为 EMAS。作为 EMAS 安全措施的一部分,我们使用了 Kyber 后量子公钥加密、一次性垫机制和哈希函数。我们对安全特性进行了正式和非正式的分析,结果表明所提议的系统是安全的,可以抵御已知的攻击。在配备 ARM Cortex M4 微控制器的 B-L475E-IOT01A 节点上对我们提出的 EMAS 进行的性能分析表明,EMAS 比现有的相关方案更高效。在计算时间方面,EMAS 需要 15.693 毫秒。这一结果低于其他现有相关方案。
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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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