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.
Rezensionen / Stimmen
"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)
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
80 s/w Abbildungen
XV, 192 p. 80 illus.
Dateigröße
ISBN-13
978-3-319-16109-9 (9783319161099)
DOI
10.1007/978-3-319-16109-9
Schweitzer Klassifikation
