| 书目名称 | Preserving Privacy in On-Line Analytical Processing (OLAP) |
| 编辑 | Lingyu Wang,Sushil Jajodia,Duminda Wijesekera |
| 视频video | |
| 概述 | First book that concentrates solely on OLAP systems.Includes Lattice-Based Inference Control Method.Discusses methods that can be implemented on the basis of emph(three-Tier) Inference control model i |
| 丛书名称 | Advances in Information Security |
| 图书封面 |  |
| 描述 | .Preserving Privacy for On-Line Analytical Processing. addresses the privacy issue of On-Line Analytic Processing (OLAP) systems. OLAP systems usually need to meet two conflicting goals. First, the sensitive data stored in underlying data warehouses must be kept secret. Second, analytical queries about the data must be allowed for decision support purposes. The main challenge is that sensitive data can be inferred from answers to seemingly innocent aggregations of the data. This volume reviews a series of methods that can precisely answer data cube-style OLAP, regarding sensitive data while provably preventing adversaries from inferring data...Preserving Privacy for On-Line Analytical Processing. is appropriate for practitioners in industry as well as graduate-level students in computer science and engineering... . |
| 出版日期 | Book 2007 |
| 关键词 | Analytical; Jajodia; OLAP; On-line; Preserving; Privacy; Processing; Wang; Wijesekera; data warehouse; databas |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-46274-5 |
| isbn_softcover | 978-1-4419-4278-4 |
| isbn_ebook | 978-0-387-46274-5Series ISSN 1568-2633 Series E-ISSN 2512-2193 |
| issn_series | 1568-2633 |
| copyright | Springer-Verlag US 2007 |
发表于 2025-3-21 18:35:43
