Protecting privacy in data release /

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Bibliographic Details
Author / Creator:Livraga, Giovanni, author.
Imprint:Cham : Springer, [2015]
Description:1 online resource.
Language:English
Series:Advances in information security, 1568-2633 ; volume 57
Advances in information security ; 57.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11093870
Hidden Bibliographic Details
ISBN:9783319161099
3319161091
3319161083
9783319161082
9783319161082
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
English.
Online resource; title from PDF title page (Ebsco, viewed May 26, 2015).
Summary:This book presents a comprehensive approach to protecting sensitive information when large data collections are released by their owners. It addresses three key requirements of data privacy: the protection of data explicitly released, the protection of information not explicitly released but potentially vulnerable due to a release of other data, and the enforcement of owner-defined access restrictions to the released data. It is also the first book with a complete examination of how to enforce dynamic read and write access authorizations on released data, applicable to the emerging data outsourcing and cloud computing situations. Private companies, public organizations and final users are releasing, sharing, and disseminating their data to take reciprocal advantage of the great benefits of making their data available to others. This book weighs these benefits against the potential privacy risks. A detailed analysis of recent techniques for privacy protection in data release and case studies illustrate crucial scenarios. Protecting Privacy in Data Release targets researchers, professionals and government employees working in security and privacy. Advanced-level students in computer science and electrical engineering will also find this book useful as a secondary text or reference.
Other form:Printed edition: 9783319161082
Standard no.:10.1007/978-3-319-16109-9
Table of Contents:
  • Introduction
  • Related Work
  • Enforcing Confidentiality and Visibility Constraints
  • Counteracting Inferences from Sensitive Volume Distributions
  • Enforcing Dynamic Read and Write Priviledges
  • Conclusions.