Database security
Limiting disclosure in hippocratic databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Auditing compliance with a Hippocratic database
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Precomputation of privacy policy parameters for auditing SQL queries
Proceedings of the 2nd international conference on Ubiquitous information management and communication
A Unified Audit Expression Model for Auditing SQL Queries
Proceeedings of the 22nd annual IFIP WG 11.3 working conference on Data and Applications Security
| Hi-index | 0.00 |
In the past few years there has been an increased focus on privacy issues for Information Systems which has resulted in concerted systematic work focused on regulations, tools and enforcement. Despite this, privacy violations still do take place. Therefore there is an increased need to develop efficient methods to detect privacy violations. We propose one such framework which uses malafide intensions (post-event information) and privacy policy to detect probable privacy violations. The framework is based on the hypothesis that every privacy violation has a malafide intension associated with it which is available in a post-event scenario.