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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3292

Keywords: privacy protection,sensitive information
Issue Date: 4-Jun-2011
Abstract: Privacy is an important issue when one wants to make use of data that involves individuals sensitive information. Research on protecting the privacy of individuals and the confidentiality of data has received contributions from many fields, including computer science, statistics, economics, and social science. In this paper, we survey research work in privacy-preserving data publishing. This is an area that attempts to answer the problem of how an organization, such as a hospital, government agency, or insurance company, can release data to the public without violating the confidentiality of personal information. Focus is on privacy criteria that provide formal safety guarantees, present algorithms that sanitize data to make it safe for release while preserving useful information, and discuss ways of analyzing the sanitized data.Many challenges still remain. Data in its original form, however, typically contains sensitive information about individuals,and publishing such data will violate individual privacy.Privacy-preserving data publishing (PPDP) provides methods and tools for publishing useful information while preserving data privacy.
URI: http://hdl.handle.net/123456789/3292
Appears in Collections:MTech 2010-2012 Batch

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