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Data Confidentiality and Privacy in Cloud Computing
Background/Objectives: We propose a cloud based computing architecture to preserve data and privacy of the user’s location information and the interests of different intruders on service user’s data. Methods/Statistical Analysis: Data confidentiality and trust is in spike when it comes to modern cloud computing as storage and means of communication. Social Networking, usage of Location based services; cloud services offered by CSPs have become part of one’s daily life with the advent of smart phones. Findings: Location information of the user can be obtained using GPS (Global Positioning System) or RFID (Radio Frequency Identification). Hacking which the access to the data of the user is obtained. This forms two limitations, 1. Works only in GPS enabled devices. 2. If mobile devices perform such heavy computations it leads to battery depletion problem. To overcome the second limitation Mobile Cloud Computing is used. Improvements/Applications: Mobile Cloud Computing offers great computing power and storage to the mobile devices. It also increases the affordability and reliability but it is still in its budding stages in providing trust guarantees to the user.
Keywords
CSP (Cloud Service Provider), Data Confidentiality, Location Based Services, Location Privacy, Multi-Level Access Control, Mobile Cloud Computing
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