Efficient Data Retrieval for Privacy Preserved Data in Public Cloud

dc.contributor.authorGupta, Mahima
dc.contributor.supervisorKaur, Damandeep
dc.date.accessioned2015-07-30T12:48:30Z
dc.date.available2015-07-30T12:48:30Z
dc.date.issued2015-07-30T12:48:30Z
dc.descriptionME, CSEDen
dc.description.abstractCloud Computing is a growing technology which enable the organization to focus on their product rather than on physical infrastructure. At very low capital investment, organization can utilize their IT cycle to sharpen their product to establish themselves and to move ahead in the race. Public cloud provide great opportunity for small and establishing organization to focus on their core values and to get their more product and services in the market frequently to win the race. With all these facilities, security and privacy pull away the customer to store their private data on cloud. As they have no clues about where their data is store, who is accessing it? So, before outsourcing their private data in the public cloud they need to ensure that their data is save and does not access by unauthorized users. In this thesis, a framework has been proposed has been proposed to store the data in secure manner and also securely access the data present in the cloud. The integrity of the data is maintained by encrypting the data. Data is store in an encrypted manner and can only be accessed by authorized users. Data is encrypted before outsourcing it to public cloud and decrypted it after retrieving it from public clouden
dc.format.extent5584009 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10266/3462
dc.language.isoenen
dc.subjectPrivacyen
dc.subjectWeb serviceen
dc.subjectMultinode Hadoopen
dc.subjectEncryptionen
dc.subjectCSEDen
dc.titleEfficient Data Retrieval for Privacy Preserved Data in Public Clouden
dc.typeThesisen

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