XACML-based semantic rules language and ontological model for reconciling semantic differences of access control rules

Internet of things interconnects increasing numbers of artefacts and individuals, allowing the setup of ambient intelligence systems in multi-domains (e.g., hospitals). Designing a suitable architectural framework is required to ensure the efficiency and sustainability of the implementation of such systems. Consolidating public services about citizens' safety and authorisation decisions when a resource is accessed in an open-dynamic environment are the main challenges that can be highlighted. Therefore, the semantic heterogeneity between the local policies of the different domains is a crucial lock for implementing this process. Our approach goes beyond the semantic web languages' weaknesses by combining the XACML-based security policy model with a semantic rules language developed during the European SembySem Project. Built on top of RDF(S), the proposed model aims to abstract the security implementation, reconcile semantic differences across multi-domain, and maintain the local security policy. Moreover, this model addresses the semantic heterogeneity of sensors' data during knowledge-sharing.