Preserving Privacy in On-Line Analytical Processing (OLAP)
Lingyu Wang, Sushil Jajodia, Duminda Wijesekera (auth.)
This book 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.
Kateqoriyalar:
İl:
2007
Nəşr:
1
Nəşriyyat:
Springer US
Dil:
english
Səhifələr:
180
ISBN 10:
0387462740
ISBN 13:
9780387462745
Seriyalar:
Advances in Information Security 29
Fayl:
PDF, 2.75 MB
IPFS:
,
english, 2007