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.
Anno:
2007
Edizione:
1
Casa editrice:
Springer US
Lingua:
english
Pagine:
180
ISBN 10:
0387462740
ISBN 13:
9780387462745
Collana:
Advances in Information Security 29
File:
PDF, 2.75 MB
IPFS:
,
english, 2007
Amazon 
Barnes & Noble 
Bookshop.org 
Converti i file
Più risultati di ricerca
Altri vantaggi 
