DAEMON: a domain-based monitoring ontology for IoT systems

Context: Internet of Things (IoT) is an emerging technology used in several contexts and domains. Objective: The work aims to define a technological reference solution specifically conceived for monitoring and assessing the behavior of IoT systems from the cybersecurity perspective when a new device or component joins the system. Method: We leverage semantic web technologies, such as ontologies, for defining DAEMON, a domain-based ontology that formally models monitoring, IoT, and System of Systems (SoS) domains' knowledge. We also propose a supporting architecture and describe the proof-of-concept implementing different components. Results and Conclusion: We have validated and showcased our proposal by instantiating DAEMON into a multi-robot autonomous navigation scenario applied to the intralogistics domain.