客户端安全图像重复数据删除使用DICE协议

Ashish Agarwala, Priyanka Singh, P. Atrey
{"title":"客户端安全图像重复数据删除使用DICE协议","authors":"Ashish Agarwala, Priyanka Singh, P. Atrey","doi":"10.1109/MIPR.2018.00089","DOIUrl":null,"url":null,"abstract":"With the advent of cloud computing, secured data deduplication has gained a lot of popularity. Many techniques have been proposed in the literature of this ongoing research area. Among these techniques, the Message Locked Encryption (MLE) scheme is often mentioned. Researchers have introduced MLE based protocols which provide secured deduplication of data, where the data is generally in text form. As a result, multimedia data such as images and video, which are larger in size compared to text files, have not been given much attention. Applying secured data deduplication to such data files could significantly reduce the cost and space required for their storage. In this paper we present a secure deduplication scheme for near identical (NI) images using the Dual Integrity Convergent Encryption (DICE) protocol, which is a variant of the MLE based scheme. In the proposed scheme, an image is decomposed into blocks and the DICE protocol is applied on each block separately rather than on the entire image. As a result, the blocks that are common between two or more NI images are stored only once at the cloud. We provide detailed analyses on the theoretical, experimental and security aspects of the proposed scheme.","PeriodicalId":320000,"journal":{"name":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Client Side Secure Image Deduplication Using DICE Protocol\",\"authors\":\"Ashish Agarwala, Priyanka Singh, P. Atrey\",\"doi\":\"10.1109/MIPR.2018.00089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of cloud computing, secured data deduplication has gained a lot of popularity. Many techniques have been proposed in the literature of this ongoing research area. Among these techniques, the Message Locked Encryption (MLE) scheme is often mentioned. Researchers have introduced MLE based protocols which provide secured deduplication of data, where the data is generally in text form. As a result, multimedia data such as images and video, which are larger in size compared to text files, have not been given much attention. Applying secured data deduplication to such data files could significantly reduce the cost and space required for their storage. In this paper we present a secure deduplication scheme for near identical (NI) images using the Dual Integrity Convergent Encryption (DICE) protocol, which is a variant of the MLE based scheme. In the proposed scheme, an image is decomposed into blocks and the DICE protocol is applied on each block separately rather than on the entire image. As a result, the blocks that are common between two or more NI images are stored only once at the cloud. We provide detailed analyses on the theoretical, experimental and security aspects of the proposed scheme.\",\"PeriodicalId\":320000,\"journal\":{\"name\":\"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MIPR.2018.00089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIPR.2018.00089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

随着云计算的出现,安全的重复数据删除得到了广泛的普及。在这个正在进行的研究领域的文献中提出了许多技术。在这些技术中,消息锁定加密(MLE)方案经常被提及。研究人员已经引入了基于MLE的协议,该协议提供了数据的安全重复数据删除,其中数据通常以文本形式存在。因此,图像、视频等比文本文件大的多媒体数据没有受到重视。对此类数据文件应用安全的重复数据删除可以显著降低其存储所需的成本和空间。在本文中,我们提出了一种使用双完整性收敛加密(DICE)协议的近相同(NI)图像的安全重复数据删除方案,该协议是基于MLE方案的一种变体。在该方案中,将图像分解为块,并将DICE协议单独应用于每个块,而不是整个图像。因此,两个或多个NI图像之间的公共块仅在云中存储一次。我们对所提出方案的理论、实验和安全方面进行了详细的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Client Side Secure Image Deduplication Using DICE Protocol
With the advent of cloud computing, secured data deduplication has gained a lot of popularity. Many techniques have been proposed in the literature of this ongoing research area. Among these techniques, the Message Locked Encryption (MLE) scheme is often mentioned. Researchers have introduced MLE based protocols which provide secured deduplication of data, where the data is generally in text form. As a result, multimedia data such as images and video, which are larger in size compared to text files, have not been given much attention. Applying secured data deduplication to such data files could significantly reduce the cost and space required for their storage. In this paper we present a secure deduplication scheme for near identical (NI) images using the Dual Integrity Convergent Encryption (DICE) protocol, which is a variant of the MLE based scheme. In the proposed scheme, an image is decomposed into blocks and the DICE protocol is applied on each block separately rather than on the entire image. As a result, the blocks that are common between two or more NI images are stored only once at the cloud. We provide detailed analyses on the theoretical, experimental and security aspects of the proposed scheme.
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
×
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