Overview
- Addresses the problem of protecting information in the emerging data outsourcing scenarios
- Presents relevant and critical novel problems and novel techniques for their solution
- Provides a comprehensive overview of the state of the art and an easy to grasp illustration of the data protection problem in outsourcing scenarios, as well as a rigorous analysis and formalization of the problem and solutions
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Information Security (ADIS, volume 99)
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Table of contents (6 chapters)
Keywords
About this book
Privacy requirements have an increasing impact on the realization of modern applications. Commercial and legal regulations demand that privacy guarantees be provided whenever sensitive information is stored, processed, or communicated to external parties. Current approaches encrypt sensitive data, thus reducing query execution efficiency and preventing selective information release.
Preserving Privacy in Data Outsourcing presents a comprehensive approach for protecting highly sensitive information when it is stored on systems that are not under the data owner's control. The approach illustrated combines access control and encryption, enforcing access control via structured encryption. This solution, coupled with efficient algorithms for key derivation and distribution, provides efficient and secure authorization management on outsourced data, allowing the data owner to outsource not only the data but the security policy itself. To reduce the amount of data to be encrypted the book also investigates data fragmentation as a possible way to protect privacy of data associations and provide fragmentation as a complementary means for protecting privacy: associations broken by fragmentation will be visible only to users authorized (by knowing the proper key) to join fragments. The book finally investigates the problem of executing queries over possible data distributed at different servers and which must be controlled to ensure sensitive information and sensitive associations be visible only to parties authorized for that. Case Studies are provided throughout the book.
Privacy, data mining, data protection, data outsourcing, electronic commerce, machine learning professionals and others working in these related fields will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science. This book is also suitable for advanced level students and researchers concentrating on computer science as a secondarytext or reference book.
Authors and Affiliations
Bibliographic Information
Book Title: Preserving Privacy in Data Outsourcing
Authors: Sara Foresti
Series Title: Advances in Information Security
DOI: https://doi.org/10.1007/978-1-4419-7659-8
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4419-7658-1Published: 13 October 2010
Softcover ISBN: 978-1-4614-2699-8Published: 01 December 2012
eBook ISBN: 978-1-4419-7659-8Published: 05 October 2010
Series ISSN: 1568-2633
Series E-ISSN: 2512-2193
Edition Number: 1
Number of Pages: XV, 180
Topics: Systems and Data Security, Cryptology, Data Structures and Information Theory, Information Storage and Retrieval, Database Management