A User Profile Based Access Control Model and Architecture

Personalization and adaptation to the user profile capability are the hottest issues to ensure ambientassisted living and context awareness in nowadays environments. With the growing healthcare andwellbeing context aware applications, modeling security policies becomes an important issue in thedesign of future access control models. This requires rich semantics using ontology modeling for themanagement of services provided to dependant people. However, current access control models remainunsuitable due to lack of personalization, adaptability and smartness to the handicap situation.In this paper, we propose a novel adaptable access control model and its related architecture in whichthe security policy is based on the handicap situation analyzed from the monitoring of user’s behavior inorder to grant a service using any assistive device within intelligent environment. The design of ourmodel is an ontology-learning and evolving security policy for predicting the future actions of dependentpeople. This is reached by reasoning about historical data, contextual data and user behavior accordingto the access rules that are used in the inference engine to provide the right service according to theuser’s needs.