Secured data storage on cloud systems via wavefront multiplexing

D. Chang, Joe Lee, H. Yeh, Frank Lu, Steve K. Chen, K. Yao
{"title":"Secured data storage on cloud systems via wavefront multiplexing","authors":"D. Chang, Joe Lee, H. Yeh, Frank Lu, Steve K. Chen, K. Yao","doi":"10.1109/GLOCOMW.2013.6825036","DOIUrl":null,"url":null,"abstract":"Security on data storage and transport are among many important concerns on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional transmissions is the use of an algorithm for satellite and deep-space communications where transmissions demand a high degree of power combining, security, reliability, and optimization. It has found applications in fields beyond communications domain. One such application is data storage and transport on cloud. Multiple data sets are preprocessed by a WF muxing transformation before being stored /transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via a WF demuxing transformation after retrieving a lesser but scalable number of WF muxed data sets. In short, the WF muxed data storage solution enhances data security and data redundancy by, respectively, creating a new dimension to existing security/privacy methods and significantly reducing the storage space needed for data redundancy. In addition, WF muxing/demuxing methods enable a monitoring capability on the integrity of stored data. It becomes possible to identify independently whether the stored data is not contaminated or altered without scrutinizing through the data sets themselves.","PeriodicalId":174992,"journal":{"name":"2013 IEEE Globecom Workshops (GC Wkshps)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Globecom Workshops (GC Wkshps)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOMW.2013.6825036","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

Security on data storage and transport are among many important concerns on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional transmissions is the use of an algorithm for satellite and deep-space communications where transmissions demand a high degree of power combining, security, reliability, and optimization. It has found applications in fields beyond communications domain. One such application is data storage and transport on cloud. Multiple data sets are preprocessed by a WF muxing transformation before being stored /transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via a WF demuxing transformation after retrieving a lesser but scalable number of WF muxed data sets. In short, the WF muxed data storage solution enhances data security and data redundancy by, respectively, creating a new dimension to existing security/privacy methods and significantly reducing the storage space needed for data redundancy. In addition, WF muxing/demuxing methods enable a monitoring capability on the integrity of stored data. It becomes possible to identify independently whether the stored data is not contaminated or altered without scrutinizing through the data sets themselves.
通过波前多路复用保护云系统上的数据存储
数据存储和传输的安全性是云计算的许多重要问题之一。波前复用/解复用过程(WF复用/解复用)体现了一种利用多维传输的体系结构,它是一种用于卫星和深空通信的算法,其中传输需要高度的功率组合、安全性、可靠性和优化。它已经在通信领域以外的领域得到了应用。其中一个应用是云上的数据存储和传输。多个数据集在存储/传输之前通过WF复用变换进行预处理。WF混合数据是来自多个数据集的聚合数据,这些数据集经过“定制处理”,并被分解成任意数量的处理数据集,每个数据集存储在一个存储站点上。在检索数量较少但可扩展的WF混合数据集后,通过WF脱木变换重新组装原始数据。简而言之,WF混合数据存储解决方案增强了数据安全性和数据冗余,分别为现有的安全/隐私方法创建了一个新的维度,并显着减少了数据冗余所需的存储空间。此外,WF的混合/去除混合方法能够对存储数据的完整性进行监控。无需仔细检查数据集本身,就可以独立识别存储的数据是否未被污染或更改。
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:604180095
Book学术官方微信