Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/923709

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Title
Statistical database security
Author/Creator
Brankovic, Ljiljana;  Giggins, Helen
Institution
The Unviersity of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
Statistical database security focuses on the protection of confidential individual values stored in so-called statistical databases and used for statistical purposes. Examples include patient records used by medical researchers, and detailed phone call records, statistically analyzed by phone companies in order to improve their services. This problem became apparent in the 1970s and has escalated in recent years due to massive data collection and growing social awareness of individual privacy. The techniques used for preventing statistical database compromise fall into two categories: noise addition, where all data and/or statistics are available but are only approximate rather than exact, and restriction, where the system only provides those statistics and/or data that are considered safe. In either case, a technique is evaluated by measuring both the information loss and the achieved level of privacy. The goal of statistical data protection is to maximize the privacy while minimizing the information loss. In order to evaluate a particular technique it is important to establish a theoretical lower bound on the information loss necessary to achieve a given level of privacy. In this chapter, we present an overview of the problem and the most important results in the area.
Relation
Security, Privacy and Trust in Modern Data Management p. 167-181
Relation
Data-Centric Systems and Applications
Publisher Link
http://dx.doi.org/10.1007/978-3-540-69861-6_12
Date
2007
Publisher
Springer
Keyword(s)
database security;  statistical databases;  privacy;  information losses
Resource Type
book chapter
Identifier
http://hdl.handle.net/1959.13/923709
Identifier
ISBN:9783540698609
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Subject
"Statistical database security"
 
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