Title: XACML-based semantic rules language and ontological model for reconciling semantic differences of access control rules
Authors: Lamri Manal; Sabri Lyazid
Addresses: Faculty of Mathematics and Informatics, University of Mohamed El Bachir El Ibrahimi, Bordj Bou Arreridj, 34000, Algeria ' Faculty of Mathematics and Informatics, University of Mohamed El Bachir El Ibrahimi, Bordj Bou Arreridj, 34000, Algeria; The Laboratory of Images, Signals and Intelligent Systems, University Paris-Est, France
Abstract: 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.
Keywords: ontology; internet of things; IoT; distributed systems; authentication; access control; multi-domain; XACML.
International Journal of Ad Hoc and Ubiquitous Computing, 2023 Vol.43 No.1, pp.1 - 17
Received: 25 Jan 2022
Received in revised form: 12 Jul 2022
Accepted: 03 Aug 2022
Published online: 17 May 2023 *