MK-RS-PKE: Multi-Keyword Ranked Searchable Public-Key Encryption for Cloud-Assisted Lightweight Platforms

I. Mouri, Muhammad Ridowan, Muhammad Abdullah Adnan
{"title":"MK-RS-PKE: Multi-Keyword Ranked Searchable Public-Key Encryption for Cloud-Assisted Lightweight Platforms","authors":"I. Mouri, Muhammad Ridowan, Muhammad Abdullah Adnan","doi":"10.1145/3508398.3519362","DOIUrl":null,"url":null,"abstract":"Since more and more data from lightweight platforms like IoT devices or mobile apps are being outsourced to the cloud, the need to ensure privacy while retaining data usability is essential. This paper designs a framework where lightweight platforms like IoT devices can encrypt documents and generate document indexes using the public key before uploading the document to the cloud. An admin can search and retrieve the top-k most relevant documents that match a multi-keyword query using the private key. Most existing searchable encryption that supports IoT returns all the documents matching queried keywords. However, IoT devices can produce massive data, which is not practical for such schemes. We formally name our framework Multi-keyword Ranked Searchable Public-Key Encryption (MK-RS-PKE).","PeriodicalId":102306,"journal":{"name":"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3508398.3519362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Since more and more data from lightweight platforms like IoT devices or mobile apps are being outsourced to the cloud, the need to ensure privacy while retaining data usability is essential. This paper designs a framework where lightweight platforms like IoT devices can encrypt documents and generate document indexes using the public key before uploading the document to the cloud. An admin can search and retrieve the top-k most relevant documents that match a multi-keyword query using the private key. Most existing searchable encryption that supports IoT returns all the documents matching queried keywords. However, IoT devices can produce massive data, which is not practical for such schemes. We formally name our framework Multi-keyword Ranked Searchable Public-Key Encryption (MK-RS-PKE).
面向云辅助轻量级平台的多关键字排名可搜索公钥加密
由于越来越多来自物联网设备或移动应用等轻量级平台的数据被外包给云,因此在保持数据可用性的同时确保隐私的需求至关重要。本文设计了一个框架,在将文档上传到云端之前,物联网设备等轻量级平台可以使用公钥对文档进行加密并生成文档索引。管理员可以使用私钥搜索和检索与多关键字查询匹配的前k个最相关的文档。大多数现有的支持物联网的可搜索加密都会返回与查询关键字匹配的所有文档。然而,物联网设备可以产生大量数据,这对于此类方案来说是不切实际的。我们正式命名我们的框架为多关键字排名可搜索公钥加密(MK-RS-PKE)。
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信