Giovanni Livraga

Protecting Privacy in Data Release

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Advances in Information Security 57
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-16108-2
• 2015
• Seitenzahl: 208
• Erscheinungstermin: 1. Juni 2015
• Englisch
• Abmessung: 241mm x 160mm x 17mm
• Gewicht: 426g
• ISBN-13: 9783319161082
• ISBN-10: 3319161083
• Artikelnr.: 42163079

Inhaltsangabe

Introduction.- Related Work.- Enforcing Confidentiality and Visibility Constraints.- Counteracting Inferences from Sensitive Volume Distributions.- Enforcing Dynamic Read and Write Priviledges.- Conclusions.

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Introduction.- Related Work.- Enforcing Confidentiality and Visibility Constraints.- Counteracting Inferences from Sensitive Volume Distributions.- Enforcing Dynamic Read and Write Priviledges.- Conclusions.

Rezensionen

"This book addresses this important concern in three different scenarios: protection of data both explicitly and implicitly, and access control enforcement. This book is based on the author's PhD work, and hence contains an in-depth analysis. ... this is well-written material that will be useful for researchers, scientists, and practitioners working in data privacy and information security." (S. Ramakrishnan, Computing Reviews, October, 2015)