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dc.coverage.spatialAn effective non commutative encryption approach with optimized genetic algorithm for ensuring data protection in cloud computing
dc.date.accessioned2023-01-06T08:18:45Z-
dc.date.available2023-01-06T08:18:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/437826-
dc.description.abstractCloud computing is an architecture model that provides computing, storage capacity as a service, and provides access to any kind of services dynamically over the Internet on-demand basis. One of the most significant services that are being provided is storage as a service. Cloud computing services are a completely internet-based technology where data are stored and maintained in the data center of a cloud provider. Cloud customers can store any amount of data into cloud storage results to huge amount of data at the datacenter. As cloud computing ends up common, increasingly touchier data are being concentrated into the cloud. For the refuge of information protection, delicate information more often than need not to be mixed before redistributing, which makes viable information use a difficult assignment. Lack of appropriate control over the data might incur several security issues. Cloud computing should provide security services for users and owners of data as well. newlineWith advancements newline
dc.format.extentxxiii, 174
dc.languageEnglish
dc.relationp.160-173
dc.rightsuniversity
dc.titleAn effective non commutative encryption approach with optimized genetic algorithm for ensuring data protection in cloud computing
dc.title.alternative
dc.creator.researcherJerald Nirmal Kumar S
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordCloud computing
dc.subject.keywordCloud customers
dc.subject.keywordCuckoo search
dc.description.note
dc.contributor.guideRavimaran S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21 cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.09 kBAdobe PDFView/Open
02_prelim pages.pdf2.42 MBAdobe PDFView/Open
03_content.pdf315.41 kBAdobe PDFView/Open
04_abstract.pdf317.49 kBAdobe PDFView/Open
05_chapter 1.pdf772.54 kBAdobe PDFView/Open
06_chapter 2.pdf392.17 kBAdobe PDFView/Open
07_chapter 3.pdf754.28 kBAdobe PDFView/Open
08_chapter 4.pdf1.1 MBAdobe PDFView/Open
09_chapter 5.pdf1.4 MBAdobe PDFView/Open
10_annexures.pdf207.16 kBAdobe PDFView/Open
80_recommendation.pdf149.21 kBAdobe PDFView/Open


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