Inference Control in Statistical Databases: From Theory to Practice (Lecture Notes in Computer Science)

Inference Control in Statistical Databases: From Theory to Practice (Lecture Notes in Computer Science)
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Inference Control in Statistical Databases: From Theory to Practice (Lecture Notes in Computer Science) Description

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Inference control in statistical databases, also known as the limitation of statistical distribution or confidentiality of statistics is to find compromises to the tension between the growing need of reliable statistical information society and the legal and ethical obligation protect the privacy of individuals and companies that are the source data to produce statistics. The techniques used by intruders to draw conclusions from compromising the integrity all based on data mining, link play, new knowledge and analysis of data and control related statistical inference becomes an integral part of the computer. This survey
coherent state of the art presents recent work in this area. As shown with an introduction, organized in relevant sections of tabular data protection, protection of micro-data and software and case studies of use. Inference Control in Statistical Databases: From Theory to Practice (Lecture Notes in Computer Science)

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