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- W2184554402 abstract "Nowadays cloud environments are widely used for data storage and processing. However, this environment represents a serious threat for data privacy, since document containing confidential information might be made available for unauthorized parties. Although measures to automatically remove or hide sensitive information that may disclose identities of referred entities or reveal their confidential data of publicly available document have been purposed. But there is no big implementation regarding security using sanitization method was implemented for data stored in cloud server. We are developing this Project for Medical Purpose. Here we use the Cloud Server as a main Server, where all the Data from the Users are Stored. We design this system using Registered Doctors, Paid and unpaid users. Here document is sanitize dynamically so that different users get different view of same document. Data Sanitization is achieved by Three Process. 1. Entity Generalization-Preserving the Privacy data with its semantics. 2. Entity Swapping is used to reduce the Document Size. 3. Noise Addition: an entity substituted by another similar one extracted from another repository" @default.
- W2184554402 created "2016-06-24" @default.
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- W2184554402 date "2013-01-01" @default.
- W2184554402 modified "2023-09-26" @default.
- W2184554402 title "Design and Implementation of Data Sanitization Technique For Effective Filtering With Enhanced Medical Support System in Cloud Architecture Diagram" @default.
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