Lattice-based provable data possession in the standard model for cloud-based smart grid data management systems

IF 1.9 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Distributed Sensor Networks Pub Date : 2022-04-01 DOI:10.1177/15501329221092940

Cai-xue Zhou, Lihua Wang, Lingmin Wang

{"title":"Lattice-based provable data possession in the standard model for cloud-based smart grid data management systems","authors":"Cai-xue Zhou, Lihua Wang, Lingmin Wang","doi":"10.1177/15501329221092940","DOIUrl":null,"url":null,"abstract":"The smart grid is considered to be the next-generation electric power network. In a smart grid, there are massive data to be processed, so cloud computing is introduced into it to form a cloud-based smart grid data management system. However, with data no longer being stored locally, how to ensure the integrity of data stored in the cloud in the smart grid has become an urgent problem awaiting solution. Provable data possession has been proposed to solve this problem. With the development of quantum computer technology, quantum attacks-resistant cryptographic schemes are gradually entering people’s horizons. Lattice cryptography can resist quantum attacks. In this article, a lattice-based provable data possession scheme is proposed for cloud-based smart grid data management systems. The scheme is proved unforgeable under the small integer solution hard assumption in the standard model. Compared with other two efficient lattice-based provable data possession schemes in the standard model, our scheme also shows efficiency.","PeriodicalId":50327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Distributed Sensor Networks","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/15501329221092940","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 2

Abstract

The smart grid is considered to be the next-generation electric power network. In a smart grid, there are massive data to be processed, so cloud computing is introduced into it to form a cloud-based smart grid data management system. However, with data no longer being stored locally, how to ensure the integrity of data stored in the cloud in the smart grid has become an urgent problem awaiting solution. Provable data possession has been proposed to solve this problem. With the development of quantum computer technology, quantum attacks-resistant cryptographic schemes are gradually entering people’s horizons. Lattice cryptography can resist quantum attacks. In this article, a lattice-based provable data possession scheme is proposed for cloud-based smart grid data management systems. The scheme is proved unforgeable under the small integer solution hard assumption in the standard model. Compared with other two efficient lattice-based provable data possession schemes in the standard model, our scheme also shows efficiency.

查看原文本刊更多论文

基于云的智能电网数据管理系统标准模型中基于格的可证明数据占有

智能电网被认为是下一代电力网络。在智能电网中，有大量的数据需要处理，因此将云计算引入其中，形成了一个基于云的智能电网数据管理系统。然而，随着数据不再存储在本地，如何确保智能电网中存储在云中的数据的完整性已成为亟待解决的问题。为了解决这个问题，已经提出了可证明的数据占有。随着量子计算机技术的发展，抗量子攻击的密码方案正逐渐进入人们的视野。晶格密码术可以抵抗量子攻击。本文针对基于云的智能电网数据管理系统，提出了一种基于网格的可证明数据占有方案。在标准模型的小整数解硬假设下，证明了该方案是不可伪造的。与标准模型中其他两种有效的基于格的可证明数据拥有方案相比，我们的方案也显示出了有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Distributed Sensor Networks 工程技术-电信学

CiteScore

6.50

自引率

4.30%

发文量

审稿时长

3.6 months

期刊介绍： International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.