Inference Control in Statistical Databases
Author | : Josep Domingo-Ferrer |
Publisher | : Springer |
Total Pages | : 238 |
Release | : 2003-08-01 |
ISBN-10 | : 9783540478041 |
ISBN-13 | : 3540478043 |
Rating | : 4/5 (41 Downloads) |
Download or read book Inference Control in Statistical Databases written by Josep Domingo-Ferrer and published by Springer. This book was released on 2003-08-01 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.