{"title":"面向智能电网的高效隐私友好型多跳数据聚合方案","authors":"P. Gope, B. Sikdar","doi":"10.1109/ISGT.2019.8791606","DOIUrl":null,"url":null,"abstract":"In this article, we propose a privacy-friendly data aggregation scheme for smart grids. In our approach, smart meters transmit their usage reports through multi-hop communication, where an aggregation tree is constructed to minimize the aggregation overhead. Security and performance analyses show that our proposed scheme offers better privacy protection for electricity meter reading aggregation as well as computational efficiency, as compared to the existing solutions.","PeriodicalId":182098,"journal":{"name":"2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Efficient Privacy-Friendly Multi-Hop Data Aggregation Scheme for Smart Grids\",\"authors\":\"P. Gope, B. Sikdar\",\"doi\":\"10.1109/ISGT.2019.8791606\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we propose a privacy-friendly data aggregation scheme for smart grids. In our approach, smart meters transmit their usage reports through multi-hop communication, where an aggregation tree is constructed to minimize the aggregation overhead. Security and performance analyses show that our proposed scheme offers better privacy protection for electricity meter reading aggregation as well as computational efficiency, as compared to the existing solutions.\",\"PeriodicalId\":182098,\"journal\":{\"name\":\"2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGT.2019.8791606\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT.2019.8791606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Privacy-Friendly Multi-Hop Data Aggregation Scheme for Smart Grids
In this article, we propose a privacy-friendly data aggregation scheme for smart grids. In our approach, smart meters transmit their usage reports through multi-hop communication, where an aggregation tree is constructed to minimize the aggregation overhead. Security and performance analyses show that our proposed scheme offers better privacy protection for electricity meter reading aggregation as well as computational efficiency, as compared to the existing solutions.