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As Information Technology becomes a vital part of our everyday activities, ranging from personal use to government and defense applications, the need to develop high-assurance systems increases. Data and applications security and privacy are crucial elements in developing such systems. Research Directions in Data and Applications Security XVIII presents original unpublished research results, practical experiences, and innovative ideas in the field of data and applications security and privacy. Topics presented in this volume include: -Database theory; -Inference control; -Data protection techniques; -Distributed systems; -Access control models; -Security policy; -Design and management; -Priv...
Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.
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