Sciweavers

Share
VLDB
2004
ACM

Auditing Compliance with a Hippocratic Database

11 years 3 months ago
Auditing Compliance with a Hippocratic Database
We introduce an auditing framework for determining whether a database system is adhering to its data disclosure policies. Users formulate audit expressions to specify the (sensitive) data subject to disclosure review. An audit component accepts audit expressions and returns all queries (deemed “suspicious”) that accessed the specified data during their execution. The overhead of our approach on query processing is small, involving primarily the logging of each query string along with other minor annotations. Database triggers are used to capture updates in a backlog database. At the time of audit, a static analysis phase selects a subset of logged queries for further analysis. These queries are combined and transformed into an SQL audit query, which when run against the backlog database, identifies the suspicious queries efficiently and precisely. We describe the algorithms and data structures used in a DB2-based implementation of this framework. Experimental results reinforce ...
Rakesh Agrawal, Roberto J. Bayardo Jr., Christos F
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where VLDB
Authors Rakesh Agrawal, Roberto J. Bayardo Jr., Christos Faloutsos, Jerry Kiernan, Ralf Rantzau, Ramakrishnan Srikant
Comments (0)
books