Inference Control In Statistical Databases
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Inference Control In Statistical Databases
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Author : Josep Domingo-Ferrer
language : en
Publisher: Springer
Release Date : 2002-04-17
Inference Control In Statistical Databases written by Josep Domingo-Ferrer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-17 with Computers categories.
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.
Inference Control In Statistical Databases
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Author : Josep Domingo-Ferrer
language : en
Publisher: Springer
Release Date : 2003-08-01
Inference Control In Statistical Databases written by Josep Domingo-Ferrer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-01 with Computers categories.
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.
Inadequacies Of Inference Control In Statistical Databases
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Author : Stanford University. Dept. of Statistics. Laboratory for Computational Statistics
language : en
Publisher:
Release Date : 1988
Inadequacies Of Inference Control In Statistical Databases written by Stanford University. Dept. of Statistics. Laboratory for Computational Statistics and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with categories.
Privacy Preserving Data Mining
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Author : Charu C. Aggarwal
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-10
Privacy Preserving Data Mining written by Charu C. Aggarwal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-10 with Computers categories.
Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions. Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.
Statistical And Scientific Database Management
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Author : Maurizio Rafanelli
language : en
Publisher: Springer Science & Business Media
Release Date : 1989-02-08
Statistical And Scientific Database Management written by Maurizio Rafanelli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-02-08 with Computers categories.
The Fourth International Working Conference on Statistical and Scientific Data Base Management (IV SSDBM) held on June 21-23, 1988 in Rome, Italy, continued the series of conferences initiated in California in December 1981. The purpose of this conference was to bring together database researchers, users and system builders, working in this specific field, to discuss the particular points of interest, to propose new solutions to the problems of the domain and to expand the topics of the previous conferences, both from the theoretical and from the applicational point of view. The papers of four scientific sessions dealt with the following topics: knowledge base and expert system, data model, natural language processing, query language, time performance, user interface, heterogeneous data classification, storage constraints, automatic drawing, ranges and trackers, and arithmetic coding. Two other special sessions presented work on progress papers on geographical data modelling, spatial database queries, user interface in an Object Oriented SDB, interpretation of queries, graphical query language and knowledge browsing front ends. The conference also had three invited papers on topics of particular interest such as "Temporal Data", "Statistical Data Management Requirements" and "Knowledge Based Decision Support Systems", included in this volume. The introductory paper by M. Rafanelli provides both an introduction to the general concepts helpful to people outside the field and a survey of all the papers in these Proceedings. Furthermore, there were three open panels. Papers by the chairmen, contributions of the panelists and a summary of the respective discussions are included in this volume, too.
Privacy In Statistical Databases
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Author : Josep Domingo-Ferrer
language : en
Publisher: Springer
Release Date : 2006-11-24
Privacy In Statistical Databases written by Josep Domingo-Ferrer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-24 with Computers categories.
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2006, held in December 2006 in Rome, Italy. The 31 revised full papers are organized in topical sections on methods for tabular protection, utility and risk in tabular protection, methods for microdata protection, utility and risk in microdata protection, protocols for private computation, case studies, and software.
Statistical Disclosure Control
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Author : Anco Hundepool
language : en
Publisher: John Wiley & Sons
Release Date : 2012-07-05
Statistical Disclosure Control written by Anco Hundepool and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-05 with Mathematics categories.
A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the need to protect the confidentiality of respondents. Statistical disclosure control is combined with other tools such as administrative, legal and IT in order to define a proper data dissemination strategy based on a risk management approach. The key concepts of statistical disclosure control are presented, along with the methodology and software that can be used to apply various methods of statistical disclosure control. Numerous examples and guidelines are also featured to illustrate the topics covered. Statistical Disclosure Control: Presents a combination of both theoretical and practical solutions Introduces all the key concepts and definitions involved with statistical disclosure control. Provides a high level overview of how to approach problems associated with confidentiality. Provides a broad-ranging review of the methods available to control disclosure. Explains the subtleties of group disclosure control. Features examples throughout the book along with case studies demonstrating how particular methods are used. Discusses microdata, magnitude and frequency tabular data, and remote access issues. Written by experts within leading National Statistical Institutes. Official statisticians, academics and market researchers who need to be informed and make decisions on disclosure limitation will benefit from this book.
A Study Of Inference Control Techniques
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Author :
language : en
Publisher:
Release Date :
A Study Of Inference Control Techniques written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Security is a major issue in every field and it impacts more when intruders get the information of an individual from the database either directly or indirectly. There are two approaches to break the confidentiality, either directly or indirectly. Here we study about different types of techniques which protect the confidentiality from indirect disclosure. These techniques are called Inference Control Techniques and also known as Statistical Disclosure Control methods. Indirect disclosure differs from the other security problems because in this presumptive intruders or external users deduce the information by set of available queries having low security risk i.e., they do computations on set of available information which is non sensitive and from that information they get the sensitive information. Inference control techniques protect the publicly released statistics of companies and institutions, such that presumptive user could not get any private information about any individual entity. Inference control in statistical databases is a part of information security which tries to prevent published statistical information (tables, individual records) from disclosing the contribution of specific respondents. Here we shall analyze about information loss, disclosure risk measures and performance of the various techniques. The major challenge to Statistical Disclosure Control is that modified data should be such that it provides more useful information with less disclosure risk i.e., protection should be maximized and information loss should be minimized. Since there is a trade-off between information loss and disclosure risk i.e., generally it happens that if disclosure risk is less then information loss will be more and vice versa. Here we propose some ideas which may provide optimal results.
Statistical And Scientific Database Management
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Author : Zbigniew Michalewicz
language : en
Publisher: Springer Science & Business Media
Release Date : 1990-03-07
Statistical And Scientific Database Management written by Zbigniew Michalewicz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-03-07 with Computers categories.
The purpose of the Fifth International Conference on Statistical and Scientific Databases was to bring together database researchers, users, and system builders, to discuss the particular issues of interest and to propose new solutions to the problems of the area, both from the theoretical and from the application point of view. This proceedings volume contains three invited papers as well as the other 13 contributions. The papers cover a wide area of research: object oriented database systems, semantic modelling, deductive mathematical databases, security of statistical databases, implementational issues for scientific databases, temporal summary table management, graphical and visual interfaces, query optimization, distributed databases, and economic and geographical databases.
Data And Applications Security Xxi
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Author : Steve Barker
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-22
Data And Applications Security Xxi written by Steve Barker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-22 with Business & Economics categories.
There are few more important issues currently doing the rounds than data security. That’s what makes this 290-page book so crucial to researchers and professionals in the area. It’s nothing less than the refereed proceedings of the 21st Annual Working Conference on Data and Applications Security held in Redondo Beach, CA, USA in July 2007. The book features 18 fully revised papers covering everything from secure query evaluation to temporal access control.