利用许可区块链在智能电网中提供匿名通信、保密数据聚合和动态计费系统

Ozgur Oksuz
{"title":"利用许可区块链在智能电网中提供匿名通信、保密数据聚合和动态计费系统","authors":"Ozgur Oksuz","doi":"10.5121/CSIT.2020.100106","DOIUrl":null,"url":null,"abstract":"This paper proposes an efficient data aggregation and dynamic billing system that it consists of a permissioned blockchain. This blockchain contains a ledger that keeps users’ anonimized identities and electricity consumption for predefined time ranges. Using consumption data of users, a billing mechanism is able to bill the users accordingly. In the construction, since all the parties in the system have the ledger, every party has the aggregated usage of the electricity without using very heavy cryptographic operations such as homomorphic encryption, bilinear pairing, etc. Using the ledgers in our model, the aggregation of the users’ electricity consumption can be computed by anyone in the system. Moreover, users are able to verify their bills and check any data using a signature scheme. This results that integrity of all data is going to be preserved. The proposed approach mainly uses hash functions to provide the same functionality (aggregation of the users’ data consumption, data integrity check and dynamic pricing and billing) with preserving data privacy of the users.","PeriodicalId":93303,"journal":{"name":"International journal of network security & its applications","volume":"108 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Providing Anonymous Communication, Privacy-Preserving Data Aggregation and Dynamic Billing System in Smart Grid Using Permissioned Blockchain\",\"authors\":\"Ozgur Oksuz\",\"doi\":\"10.5121/CSIT.2020.100106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an efficient data aggregation and dynamic billing system that it consists of a permissioned blockchain. This blockchain contains a ledger that keeps users’ anonimized identities and electricity consumption for predefined time ranges. Using consumption data of users, a billing mechanism is able to bill the users accordingly. In the construction, since all the parties in the system have the ledger, every party has the aggregated usage of the electricity without using very heavy cryptographic operations such as homomorphic encryption, bilinear pairing, etc. Using the ledgers in our model, the aggregation of the users’ electricity consumption can be computed by anyone in the system. Moreover, users are able to verify their bills and check any data using a signature scheme. This results that integrity of all data is going to be preserved. The proposed approach mainly uses hash functions to provide the same functionality (aggregation of the users’ data consumption, data integrity check and dynamic pricing and billing) with preserving data privacy of the users.\",\"PeriodicalId\":93303,\"journal\":{\"name\":\"International journal of network security & its applications\",\"volume\":\"108 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of network security & its applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/CSIT.2020.100106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of network security & its applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/CSIT.2020.100106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文提出了一种高效的数据聚合和动态计费系统,该系统由一个允许的区块链组成。这个区块链包含一个分类帐,用于保存用户的匿名身份和预定义时间范围内的用电量。使用用户的消费数据,计费机制能够相应地向用户计费。在构建过程中,由于系统各方都有账本,因此无需使用非常繁重的加密操作,如同态加密、双线性配对等,各方都有汇总的用电量。使用我们模型中的分类账,系统中的任何人都可以计算出用户用电量的总和。此外,用户可以使用签名方案验证他们的账单和检查任何数据。这就保证了所有数据的完整性。该方法主要使用哈希函数提供相同的功能(用户数据消费聚合、数据完整性检查和动态定价计费),同时保护用户的数据隐私。
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
Providing Anonymous Communication, Privacy-Preserving Data Aggregation and Dynamic Billing System in Smart Grid Using Permissioned Blockchain
This paper proposes an efficient data aggregation and dynamic billing system that it consists of a permissioned blockchain. This blockchain contains a ledger that keeps users’ anonimized identities and electricity consumption for predefined time ranges. Using consumption data of users, a billing mechanism is able to bill the users accordingly. In the construction, since all the parties in the system have the ledger, every party has the aggregated usage of the electricity without using very heavy cryptographic operations such as homomorphic encryption, bilinear pairing, etc. Using the ledgers in our model, the aggregation of the users’ electricity consumption can be computed by anyone in the system. Moreover, users are able to verify their bills and check any data using a signature scheme. This results that integrity of all data is going to be preserved. The proposed approach mainly uses hash functions to provide the same functionality (aggregation of the users’ data consumption, data integrity check and dynamic pricing and billing) with preserving data privacy of the users.
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
自引率
0.00%
发文量
0
期刊最新文献
Invertible Neural Network for Inference Pipeline Anomaly Detection SPDZ-Based Optimistic Fair Multi-Party Computation Detection Exploring the Effectiveness of VPN Architecture in Enhancing Network Security for Mobile Networks: An Investigation Study A NOVEL ALERT CORRELATION TECHNIQUE FOR FILTERING NETWORK ATTACKS Offline Signature Recognition via Convolutional Neural Network and Multiple Classifiers
×
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