ТОП просматриваемых книг сайта:
Database Anonymization. David Sánchez
Читать онлайн.Название Database Anonymization
Год выпуска 0
isbn 9781681731988
Автор произведения David Sánchez
Жанр Компьютеры: прочее
Серия Synthesis Lectures on Information Security, Privacy, and Trust
Издательство Ingram
Database Anonymization
Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections
Synthesis Lectures on Information Security, Privacy, & Trust
Editor
Elisa Bertino, Purdue University
Ravi Sandhu, University of Texas at San Antonio
The Synthesis Lectures Series on Information Security, Privacy, and Trust publishes 50- to 100-page publications on topics pertaining to all aspects of the theory and practice of Information Security, Privacy, and Trust. The scope largely follows the purview of premier computer security research journals such as ACM Transactions on Information and System Security, IEEE Transactions on Dependable and Secure Computing and Journal of Cryptology, and premier research conferences, such as ACM CCS, ACM SACMAT, ACM AsiaCCS, ACM CODASPY, IEEE Security and Privacy, IEEE Computer Security Foundations, ACSAC, ESORICS, Crypto, EuroCrypt and AsiaCrypt. In addition to the research topics typically covered in such journals and conferences, the series also solicits lectures on legal, policy, social, business, and economic issues addressed to a technical audience of scientists and engineers. Lectures on significant industry developments by leading practitioners are also solicited.
Database Anonymization: Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections
Josep Domingo-Ferrer, David Sánchez, and Jordi Soria-Comas
2016
Automated Software Diversity
Per Larsen, Stefan Brunthaler, Lucas Davi, Ahmad-Reza Sadeghi, and Michael Franz
2015
Trust in Social Media No Access
Jiliang Tang and Huan Liu
2015
Physically Unclonable Functions (PUFs): Applications, Models, and Future Directions No Access
Christian Wachsmann and Ahmad-Reza Sadeghi
2014
Usable Security: History, Themes, and Challenges No Access
Simson Garfinkel and Heather Richter Lipford
2014
Reversible Digital Watermarking: Theory and Practices No Access
Ruchira Naskar and Rajat Subhra Chakraborty
2014
Mobile Platform Security No Access
N. Asokan, Lucas Davi, Alexandra Dmitrienko, Stephan Heuser, Kari Kostiainen, Elena Reshetova, and Ahmad-Reza Sadeghi
2013
Security and Trust in Online Social Networks No Access
Barbara Carminati, Elena Ferrari, and Marco Viviani
2013
RFID Security and Privacy No Access
Yingjiu Li, Robert H. Deng, and Elisa Bertino
2013
Hardware Malware No Access
Christian Krieg, Adrian Dabrowski, Heidelinde Hobel, Katharina Krombholz, and Edgar Weippl
2013
Private Information Retrieval No Access
Xun Yi, Russell Paulet, and Elisa Bertino
2013
Privacy for Location-based Services No Access
Gabriel Ghinita
2013
Enhancing Information Security and Privacy by Combining Biometrics with Cryptography No Access
Sanjay G. Kanade, Dijana Petrovska-Delacrétaz, and Bernadette Dorizzi
2012
Analysis Techniques for Information Security No Access
Anupam Datta, Somesh Jha, Ninghui Li, David Melski, and Thomas Reps
2010
Operating System Security No Access
Trent Jaeger
2008
Copyright © 2016 by Morgan & Claypool
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher.
Database Anonymization:
Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections
Josep Domingo-Ferrer, David Sánchez, and Jordi Soria-Comas
www.morganclaypool.com
ISBN: 9781627058438 paperback
ISBN: 9781627058445 ebook
DOI 10.2200/S00690ED1V01Y201512SPT015
A Publication in the Morgan & Claypool Publishers series
SYNTHESIS LECTURES ON INFORMATION SECURITY, PRIVACY, & TRUST
Lecture #15
| Series Editors: | Elisa Bertino, Purdue University |
| Ravi Sandhu, University of Texas at San Antonio |
Series ISSN
Print 1945-9742 Electronic 1945-9750
Database Anonymization
Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections
Josep Domingo-Ferrer, David Sánchez, and Jordi Soria-Comas
Universitat Rovira i Virgili, Tarragona, Catalonia
SYNTHESIS LECTURES ON INFORMATION SECURITY, PRIVACY, & TRUST #15
ABSTRACT
The current social and economic context increasingly demands open data to improve scientific research and decision making. However, when published data refer to individual respondents, disclosure risk limitation techniques must be implemented to anonymize the data and guarantee by design the fundamental right to privacy of the subjects the data refer to. Disclosure risk limitation has a long record in the statistical and computer science research communities, who have developed a variety of privacy-preserving solutions for data releases. This Synthesis Lecture provides a comprehensive overview of the fundamentals of privacy in data releases focusing on the computer science perspective. Specifically, we detail the privacy models, anonymization methods, and utility and risk metrics that have been proposed so far in the literature. Besides, as a more advanced topic, we identify and discuss in detail connections between several privacy models (i.e., how to accumulate the privacy guarantees they offer to achieve more robust protection and when such guarantees are equivalent or complementary); we also explore the links between anonymization methods and privacy models (how anonymization methods can be used to enforce privacy models and thereby offer ex ante privacy guarantees). These latter topics are relevant to researchers and advanced practitioners, who will gain a deeper understanding on the available data anonymization solutions and the privacy guarantees they can offer.
KEYWORDS
data releases, privacy protection, anonymization, privacy models, statistical disclosure limitation, statistical disclosure control, microaggregation
A