Privacy Oracle: Semantic Reasoning For Dynamic Privacy Risk Inference
Project Overview
With the rapid expansion of smart cyber-physical systems and environments, users become more and more concerned about their privacy, and ask for more involvement in the protection of their data. However, users may not be neces- sarily aware of the direct and indirect privacy risks they take to properly protect their privacy. In this paper, we propose a semantic reasoning system, denoted as the Privacy Oracle, capable of providing users with a dynamic overview of the privacy risks taken as their context evolves. To do so, the system continuously models, according to a proposed Semantic User Environment Modeling (SUEM) ontology , the knowledge (received by the system) about the user of interest and her surrounding cyber-physical environment. In parallel, it performs continuous reasoning over modeled information, by relying on set of privacy rules, in order to dynamically infer the privacy risks taken by the user. To validate our approach, we developed a prototype based on the semantic web tools such as OWL API, SWRL API and the inference engine Pellet. We evaluated the sys- tem performance by considering multiple use cases. Our experimental results show that the Privacy Oracle can assist users by dynamically detecting their incurred privacy risks, and by tracking, in real-time, the evolution of those risks as user context changes.
Research Areas
- Computer Science
- Privacy Engineering
- Privacy Risk Reasoning
- Semantic Web
- Context-aware Computing
- Internet of Things
PhD Student
Karam Bou Chaaya
Project Members
- Richard Chbeir
- Philippe Arnould
- Mahmoud Barhamgi
- Djamal Benslimane
Collaborators
The LIUPPA (laboratory)Located in Anglet - France, is a computer science laboratory related to the “Université de PAU et des Pays de l’Adour” (UPPA), and interested in the formalization of digital ecosystems in multimedia sensory networks and microgrids.