Paper Info
Title
Extending Relational Database Systems to Automatically Enforce Privacy Policies
Abstract
Databases are at the core of successful businesses. Due to the voluminous stores of personal data being held by companies today, preserving privacy has become a crucial requirement for operating a business. This paper proposes how current relational database management systems can be transformed into their privacy-preserving equivalents. Specifically, we present language constructs and implementation design for fine-grained access control to achieve this goal.
Year
DOI
Venue
2005
10.1109/ICDE.2005.64
ICDE
Keywords
Field
DocType
privacy-preserving equivalent,successful business,fine-grained access control,personal data,voluminous store,current relational database management,automatically enforce privacy policies,extending relational database systems,implementation design,crucial requirement,present language construct,access control,authorisation,data privacy,management information systems,relational databases,privacy policy,database languages,data security,relational database management system,relational database system
Data mining,Management information systems,Data security,Query language,Relational database,Computer science,Privacy policy,Relational database management system,Access control,Information privacy,Database
Conference
ISSN
ISBN
Citations 
1084-4627
0-7695-2285-8
61
PageRank 
References 
Authors
2.59
3
6
Name
Order
Citations
PageRank
Rakesh Agrawal1297515959.33
Paul Bird21198.78
Tyrone Grandison385660.58
Jerry Kiernan41497142.22
Scott Logan5612.59
Walid Rjaibi612110.80