Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/437826
Title: An effective non commutative encryption approach with optimized genetic algorithm for ensuring data protection in cloud computing
Researcher: Jerald Nirmal Kumar S
Guide(s): Ravimaran S
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Cloud computing
Cloud customers
Cuckoo search
University: Anna University
Completed Date: 2021
Abstract: Cloud 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
Pagination: xxiii, 174
URI: http://hdl.handle.net/10603/437826
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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