Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (8 chapters)
-
Front Matter
-
Back Matter
About this book
In recent years, considerable research has been devoted to the area of multilevel secure transactions that has impacted the design and development of trusted MLS DBMS products. Multilevel Secure Transaction Processing presents the progress and achievements made in this area. The book covers state-of-the-art research in developing secure transaction processing for popular MLS DBMS architectures, such as kernelized, replicated, and distributed architectures, and advanced transaction models such as workflows, long duration and nested models. Further, it explores the technical challenges that require future attention.
Multilevel Secure Transaction Processing is an excellent reference for researchers and developers in the area of multilevel secure database systems and may be used in advanced level courses in database security, information security, advanced database systems, and transaction processing.
Authors and Affiliations
-
Rutgers University, USA
Vijay Atluri
-
George Mason University, USA
Sushil Jajodia
-
Western Illinois University, USA
Binto George
About the authors
Bibliographic Information
Book Title: Multilevel Secure Transaction Processing
Authors: Vijay Atluri, Sushil Jajodia, Binto George
Series Title: Advances in Database Systems
DOI: https://doi.org/10.1007/978-1-4615-4553-8
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-7923-7702-3Published: 30 November 1999
Softcover ISBN: 978-1-4613-7055-0Published: 11 October 2012
eBook ISBN: 978-1-4615-4553-8Published: 06 December 2012
Series ISSN: 1386-2944
Edition Number: 1
Number of Pages: XIV, 126
Topics: Data Structures and Information Theory, Management of Computing and Information Systems, Natural Language Processing (NLP), Information Storage and Retrieval