2009 | OriginalPaper | Chapter
Monitoring-Based Approach for Privacy Data Management
Authors : H. Meziane, S. Benbernou, F. Leymann, M. P. Papazoglou
Published in: Advances in Data Management
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
This chapter addresses the problem of managing private data in service based applications ensuring end-to-end quality of service(QoS) capabilities. The proposed approach is processed through monitoring the compliance of privacy agreement that spells out a consumer’s privacy rights and how consumer private information must be handled by the service provider. A state machine based model is proposed to describe the Private Data Use Flow (PDUF) toward monitoring which can be used by privacy analyst to observe the flow and capture privacy vulnerabilities that may lead to non-compliance. The model is built on top of (i) properties and timed-related privacy requirements to be monitored that are specified using LTL (Linear Temporal Logic) (ii) a set of identified privacy misuses.