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.