{"title":"A Quantum Safe Mutual Authentication Protocol for Smart Meter Communications With Experimental Evaluation","authors":"Rohini Poolat Parameswarath;Chao Wang;Biplab Sikdar","doi":"10.1109/TNSE.2024.3427110","DOIUrl":null,"url":null,"abstract":"The security landscape will change dramatically with the advent of quantum computers and existing security schemes in various domains including smart grid communications must be updated to make them secure from quantum computer-enabled attacks. In this paper, we propose a quantum-safe mutual authentication protocol, leveraging the concepts of Quantum Key Distribution (QKD) and Quantum Random Number Generator (QRNG), for secure communication between smart meters and a server. Unlike conventional schemes based on cryptographic algorithms that rely on difficulties to solve certain mathematical problems, the proposed protocol is secure against attacks arising from quantum computers. In the proposed protocol, QKD is employed to establish secure keys in smart meter communications with provable security while QRNG provides truly random numbers that are unknown to any eavesdropper. Specifically, we employ the Measurement-Device-Independent Quantum Key Distribution (MDI QKD), a type of QKD whose security does not rely on any assumptions about measurement devices. We provide a formal security proof for the proposed scheme under the real-or-random (RoR) model. Additionally, we conduct a proof-of-concept experimental demonstration, using the secure keys from a MDI QKD system and random numbers from QRNG, to demonstrate the feasibility and practicality of the proposed scheme.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"11 5","pages":"5058-5072"},"PeriodicalIF":6.7000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10599882/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The security landscape will change dramatically with the advent of quantum computers and existing security schemes in various domains including smart grid communications must be updated to make them secure from quantum computer-enabled attacks. In this paper, we propose a quantum-safe mutual authentication protocol, leveraging the concepts of Quantum Key Distribution (QKD) and Quantum Random Number Generator (QRNG), for secure communication between smart meters and a server. Unlike conventional schemes based on cryptographic algorithms that rely on difficulties to solve certain mathematical problems, the proposed protocol is secure against attacks arising from quantum computers. In the proposed protocol, QKD is employed to establish secure keys in smart meter communications with provable security while QRNG provides truly random numbers that are unknown to any eavesdropper. Specifically, we employ the Measurement-Device-Independent Quantum Key Distribution (MDI QKD), a type of QKD whose security does not rely on any assumptions about measurement devices. We provide a formal security proof for the proposed scheme under the real-or-random (RoR) model. Additionally, we conduct a proof-of-concept experimental demonstration, using the secure keys from a MDI QKD system and random numbers from QRNG, to demonstrate the feasibility and practicality of the proposed scheme.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.