Preserving Privacy in On-Line Analytical Processing (OLAP)
Publication year: 2007
: 978-0-387-46274-5
Preserving Privacy in On-Line Analytical Processing reviews a series of methods that can precisely answer data cube-style OLAP queries regarding sensitive data while provably preventing adversaries from inferring the data. How to keep the performance overhead of these security methods at a reasonable level is also addressed. Achieving a balance between security, availability, and performance is shown to be feasible in OLAP systems.
: Computer Science, Analytical, Jajodia, OLAP, On-line, Preserving, Privacy, Processing, Wang, Wijesekera, data warehouse, database
