智能电网应用中的隐私保护技术综述

Rakhi Gupta, Parminder Singh, Avinash Kaur, Mustapha Hedabou
{"title":"智能电网应用中的隐私保护技术综述","authors":"Rakhi Gupta, Parminder Singh, Avinash Kaur, Mustapha Hedabou","doi":"10.2174/0126662558254700231024015340","DOIUrl":null,"url":null,"abstract":"Abstract: The extensive use of electricity and the increasing number of consumers challenge matching power consumption with the power generated. Having a traditional way of power generation and distribution, power is also widely fetched through renewable energy sources. So, to have improved efficiency and reliable means of the power source, to be able to integrate multiple sources of power generation like PV Cells, Solar Power, and Wind Power into the existing standards of the power source, precise calculations of the power consumption in the multisource environment, provision to scale up the smart and electric vehicle and most importantly, to reduce the carbon emissions, several attempts have been made to convert the traditional grids into smart grids. A tiny step in the smart grid's development is the smart metering infrastructure, in which smart meters are deployed through the consumer end. Through smart meters, it is possible to establish the link, either through wireless media or wired connections, between the consumer and the grid. Once the smart meters are deployed through the Advanced Metering Infrastructure (AMI), the meters remain active round the clock, giving a window to hackers. Through this window, utility bill manipulations, payment transaction information, and other significant data can be accessed by unethical approaches and threaten the consumer's privacy. This review-research paper discusses various methods presented by distinct authors to address the issues related to customer privacy protection in the smart grid.","PeriodicalId":36514,"journal":{"name":"Recent Advances in Computer Science and Communications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Review on Privacy Protection Techniques in Smart Grid Applications\",\"authors\":\"Rakhi Gupta, Parminder Singh, Avinash Kaur, Mustapha Hedabou\",\"doi\":\"10.2174/0126662558254700231024015340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract: The extensive use of electricity and the increasing number of consumers challenge matching power consumption with the power generated. Having a traditional way of power generation and distribution, power is also widely fetched through renewable energy sources. So, to have improved efficiency and reliable means of the power source, to be able to integrate multiple sources of power generation like PV Cells, Solar Power, and Wind Power into the existing standards of the power source, precise calculations of the power consumption in the multisource environment, provision to scale up the smart and electric vehicle and most importantly, to reduce the carbon emissions, several attempts have been made to convert the traditional grids into smart grids. A tiny step in the smart grid's development is the smart metering infrastructure, in which smart meters are deployed through the consumer end. Through smart meters, it is possible to establish the link, either through wireless media or wired connections, between the consumer and the grid. Once the smart meters are deployed through the Advanced Metering Infrastructure (AMI), the meters remain active round the clock, giving a window to hackers. Through this window, utility bill manipulations, payment transaction information, and other significant data can be accessed by unethical approaches and threaten the consumer's privacy. This review-research paper discusses various methods presented by distinct authors to address the issues related to customer privacy protection in the smart grid.\",\"PeriodicalId\":36514,\"journal\":{\"name\":\"Recent Advances in Computer Science and Communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Recent Advances in Computer Science and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0126662558254700231024015340\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Advances in Computer Science and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0126662558254700231024015340","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

摘要

摘要:电力的广泛使用和消费者数量的不断增加对电力消耗与发电量的匹配提出了挑战。由于有传统的发电和配电方式,电力也广泛通过可再生能源获取。因此,为了提高效率和可靠的电源手段,为了能够将光伏电池、太阳能和风能等多种发电方式整合到现有的电源标准中,为了精确计算多源环境下的功耗,为了扩大智能和电动汽车的规模,最重要的是,为了减少碳排放,人们已经进行了几次尝试,将传统电网转变为智能电网。智能电网发展的一小步是智能计量基础设施,其中智能电表通过消费者端部署。通过智能电表,可以通过无线媒体或有线连接在消费者和电网之间建立联系。一旦智能电表通过高级计量基础设施(AMI)部署,电表就会24小时处于活动状态,给黑客提供了机会。通过这个窗口,公用事业账单操纵、支付交易信息和其他重要数据可以被不道德的方法访问,并威胁到消费者的隐私。这篇综述研究论文讨论了不同作者提出的各种方法,以解决与智能电网中客户隐私保护相关的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Review on Privacy Protection Techniques in Smart Grid Applications
Abstract: The extensive use of electricity and the increasing number of consumers challenge matching power consumption with the power generated. Having a traditional way of power generation and distribution, power is also widely fetched through renewable energy sources. So, to have improved efficiency and reliable means of the power source, to be able to integrate multiple sources of power generation like PV Cells, Solar Power, and Wind Power into the existing standards of the power source, precise calculations of the power consumption in the multisource environment, provision to scale up the smart and electric vehicle and most importantly, to reduce the carbon emissions, several attempts have been made to convert the traditional grids into smart grids. A tiny step in the smart grid's development is the smart metering infrastructure, in which smart meters are deployed through the consumer end. Through smart meters, it is possible to establish the link, either through wireless media or wired connections, between the consumer and the grid. Once the smart meters are deployed through the Advanced Metering Infrastructure (AMI), the meters remain active round the clock, giving a window to hackers. Through this window, utility bill manipulations, payment transaction information, and other significant data can be accessed by unethical approaches and threaten the consumer's privacy. This review-research paper discusses various methods presented by distinct authors to address the issues related to customer privacy protection in the smart grid.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Recent Advances in Computer Science and Communications
Recent Advances in Computer Science and Communications Computer Science-Computer Science (all)
CiteScore
2.50
自引率
0.00%
发文量
142
期刊最新文献
Flood Mapping and Damage Analysis Using Multispectral Sentinel-2 Satellite Imagery and Machine Learning Techniques Efficacy of Keystroke Dynamics-Based User Authentication in the Face of Language Complexity Innovation in Knowledge Economy: A Case Study of 3D Printing's Rise in Global Markets and India Cognitive Inherent SLR Enabled Survey for Software Defect Prediction An Era of Communication Technology Using Machine Learning Techniques in Medical Imaging
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1