Anonymization of statistical data
نویسنده
چکیده
In the modern digital society, personal information about individuals can be collected, stored, shared, and disseminated much more easily and freely. Such data can be released in macrodata form, reporting aggregated information, or in microdata form, reporting specific information on individual respondent. Protecting data against improper disclosure is then becoming critical to ensure proper privacy of individuals as well as of public and private organizations, and several data protection techniques have been developed. In this paper, we characterize macrodata and microdata releases and then focus on microdata protection. We provide a characterization of the main microdata protection techniques and describe recent solutions for protecting microdata against identity and attribute disclosure, discussing some open issues that need to be investigated.
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