A model for dimensioning a secure event-driven health care system

Abstract

Privacy is close to the user information and thus, present in any ubiquitous computing scenario. In this sense, privacy in identity management is gaining more importance, since IdM systems deal with services that requires sharing attributes belonging to users' identity with different entities across security domains. However, the effective revocation consent -considered as a privacy rule in sensitive scenarios-has not been fully addressed. This article builds on the flexible event-based user consentrevocation mechanism defined in [4] for health care scenarios. In this article we analyze the network dimensioning to calculate the overhead of activating/deactivating attributes and privileges, as subscription and notification event messages exchanged. We consider two main simulation scenarios: a large hospital, and a small-medium hospital.