Novel hybrid chaotic map-based secure data transmission between smart meter and HAN devices

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES Smart Science Pub Date : 2023-10-02 DOI:10.1080/23080477.2023.2264564
Lokesh Goel, Hardik Chawla, Mohit Dua, Shelza Dua, Deepti Dhingra
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Abstract

ABSTRACTHome area network (HAN) devices send the electricity consumption and other important data to the smart meter that must remain confidential from other devices. This paper proposes a novel one-dimensional hybrid chaotic map. The proposed map shows excellent chaotic properties when analyzed by bifurcation diagram, Lyapunov exponent & Shannon entropy. We further design an encryption strategy for data transfers between the smart meter and HAN devices. The proposed encryption scheme uses the existing lightweight key management in advanced metering infrastructure (LKM-AMI) architecture for data transfers, in which the encrypted data is transferred through an insecure channel and private keys are provided by trusted third party (TTP) through secure channels. The 2-way communication between HAN devices and the smart meter sends messages that are encrypted by using the proposed novel hybrid one-dimensional chaotic map. The encryption strategy mainly consists of three steps. In the first step, the seed and the control parameters are initialized. The second phase generates two intermediate keys using the proposed hybrid chaotic map. In the last phase, we encrypt the message by applying permutation followed by diffusion using intermediate keys. The proposed encryption strategy is resistant to various attacks.KEYWORDS: Smart gridsmart meterhome area networkchaos theoryAMIadvanced metering infrastructure Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementOn behalf of all authors, I, Lokesh Goel, declare that this article does not involve any generated or analyzed datasets. Data sharing does not apply to this study.Compliance with ethical standardsOn behalf of all authors, I, Lokesh Goel, hereby declare that: No external funding was obtained for this study.The authors and the submitted manuscript have no conflicts of interest to declare.This article does not include any studies involving human participants or animals that were performed by any of the authors.
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基于混合混沌映射的新型智能电表与HAN设备安全数据传输
摘要:家庭局域网(HAN)设备将用电量等重要数据发送到智能电表,这些数据必须对其他设备保密。提出了一种新的一维混合混沌映射。通过分岔图、李雅普诺夫指数和香农熵分析,表明该映射具有良好的混沌特性。我们进一步设计了智能电表和HAN设备之间数据传输的加密策略。该加密方案采用LKM-AMI (advanced metering infrastructure)架构中现有的轻量级密钥管理进行数据传输,加密后的数据通过不安全通道传输,私钥通过安全通道由可信第三方(trusted third party, TTP)提供。HAN设备和智能电表之间的双向通信发送的消息使用所提出的新型混合一维混沌映射进行加密。加密策略主要包括三个步骤。在第一步,初始化种子和控制参数。第二阶段使用所提出的混合混沌映射生成两个中间密钥。在最后一个阶段,我们通过使用中间密钥应用排列和扩散来加密消息。提出的加密策略能够抵抗各种攻击。关键词:智能电网智能电表家庭区域网络混沌理论先进计量基础设施披露声明作者未报告潜在的利益冲突。我,Lokesh Goel,代表所有作者声明,本文不涉及任何生成或分析的数据集。数据共享不适用于本研究。我,Lokesh Goel,谨代表所有作者声明:本研究未获得外部资助。作者与投稿文章无利益冲突需要申报。本文不包括任何作者进行的涉及人类参与者或动物的研究。
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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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