Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/468657
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dc.coverage.spatialIdentity based authentication in Cloud environment using deep Learning and cryptographic Techniques
dc.date.accessioned2023-03-14T07:07:40Z-
dc.date.available2023-03-14T07:07:40Z-
dc.identifier.urihttp://hdl.handle.net/10603/468657-
dc.description.abstractIn the recent advancements in wireless networks and newlinecommunication, techniques have resulted in the development of Cloud newlineComputing (CC), which finds its applicability in diverse fields such as newlinemedicine, transport, smart city, and security. Owing to the open access newlinecharacteristics of wireless networks, the CC services, and applications can be newlinevulnerable to diverse kinds of malicious attacks, e.g., unauthorized access newlinefrom malicious intruders. For resolving this issue, there is a need to design newlineeffective authentication techniques to accomplish security and privacy. newlineSecurity is a critical issue in the cloud computing platform due to the fact that newlinethe attackers can comprise the data such as creating, copying, deleting the newlinedata with no user authorization. Most of the existing techniques make use of newlinepassword-based authentication for encrypting the data. The integration of newlineInternet of Things (IoT) and cloud computing technologies have begun to newlineoffer several applications and services to improve the quality of living newlinestandards. The users can avail of the services via cloud platform at any time newlineand any place. But several probable network attacks are possible which can newlinethreaten the privacy of clients and cloud server. For designing efficient access newlinecontrol and secured communication in cloud environment, identify based newlineauthentication process become necessary. Since the password-based schemes newlinesuffer from several issues and can be easily comprised, we had addressed newlinesome hybrid scheme for CC environments. newlineThis research work focuses on Identity based authentication using newlineDeep Learning Techniques. The entire research work is organized into set of newlinedifferent objectives as listed below. newlineand#1048696; To perform a detailed review of the recent works developed newlinefor Identity based Authentication Scheme newline
dc.format.extentxiv140p.
dc.languageEnglish
dc.relationp.128-139
dc.rightsuniversity
dc.titleIdentity based authentication in Cloud environment using deep Learning and cryptographic Techniques
dc.title.alternative
dc.creator.researcherRaju, K
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordImaging Science and Photographic Technology
dc.description.note
dc.contributor.guideChinnadurai, M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
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 File29.31 kBAdobe PDFView/Open
02_prelim pages.pdf991.36 kBAdobe PDFView/Open
03_content.pdf9.05 kBAdobe PDFView/Open
04_abstract.pdf11.07 kBAdobe PDFView/Open
05_chapter 1.pdf490.62 kBAdobe PDFView/Open
06_chapter 2.pdf159.87 kBAdobe PDFView/Open
07_chapter 3.pdf687.56 kBAdobe PDFView/Open
08_chapter 4.pdf348.43 kBAdobe PDFView/Open
09_chapter 5.pdf626.15 kBAdobe PDFView/Open
10_annexures.pdf78.79 kBAdobe PDFView/Open
80_recommendation.pdf68.36 kBAdobe PDFView/Open


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