Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/359423
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dc.coverage.spatial
dc.date.accessioned2022-02-02T09:15:51Z-
dc.date.available2022-02-02T09:15:51Z-
dc.identifier.urihttp://hdl.handle.net/10603/359423-
dc.description.abstractBig data refers to the large, diverse sets of information that grow at ever-increasing newlinerates. Cloud architectures satisfy the requirements very well and have been found newlineinevitable for Big Data storage and analysis. With the rapid growth of data sources, newlineimprove big data security in cloud is a challenging issue. Different issues are involved newlinein Big Data security such as infrastructure security, data privacy, data management newlineand integrity. Currently, cloud computing is considered for big data processing, newlineanalytics and storage using cryptography algorithms. But this is not enough for big newlinedata protection over cloud. In this thesis we present a big picture of addressing the newlinemain issues in big data security over cloud. We propose novel system architecture newlinecalled Secure Authentication and Data Sharing in Cloud enabled Big Data newlineEnvironment (SADS-Cloud). Three processes are involving in this process including newlineBig Data Outsourcing, Big Data Sharing and Big Data Management. newline
dc.format.extent214
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn efficient security architecture for secure authentication and data sharing in cloud enabled big data environment
dc.title.alternative
dc.creator.researcherUma Narayanan
dc.subject.keywordBig data
dc.subject.keywordBig data management
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Hardware and Architecture
dc.subject.keywordEngineering and Technology
dc.subject.keywordSALSA20 Algorithm
dc.description.note
dc.contributor.guideVarghese Paul
dc.publisher.placeCochin
dc.publisher.universityCochin University of Science and Technology
dc.publisher.institutionSchool of Engineering
dc.date.registered2016
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Engineering

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05_chapter2.pdf467.67 kBAdobe PDFView/Open
06_chapter3.pdf899.91 kBAdobe PDFView/Open
07_chapter4.pdf1.17 MBAdobe PDFView/Open
08_chapter5.pdf1.12 MBAdobe PDFView/Open
09_chapter6.pdf2.64 MBAdobe PDFView/Open
10_chapter7.pdf241.09 kBAdobe PDFView/Open
11_references.pdf493.8 kBAdobe PDFView/Open
80_recommendation.pdf543.52 kBAdobe PDFView/Open


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