Document - DAEMON: a domain-based monitoring ontology for IoT systems

2023

Journal article Open Access

DAEMON: a domain-based monitoring ontology for IoT systems

Daoudagh S., Marchetti E., Calabrò A., Ferrada F., Oliveira A. I., Barata J., Peres R., Marques F.

Computational Theory and Mathematics Internet of Things (IoT) System of Systems (SoS) Ontology Computer Science Applications Artificial Intelligence General Computer Science Computer Networks and Communications Computer Graphics and Computer-Aided Design Cyber security Monitoring

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.

Source: SN computer science (Online) 4 (2023). doi:10.1007/S42979-023-01975-Y

Publisher: Springer Nature, [Singapore], Singapore

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BibTeX entry

@article{oai:it.cnr:prodotti:489969,
	title = {DAEMON: a domain-based monitoring ontology for IoT systems},
	author = {Daoudagh S. and Marchetti E. and Calabrò A. and Ferrada F. and Oliveira A. I. and Barata J. and Peres R. and Marques F.},
	publisher = {Springer Nature, [Singapore], Singapore},
	doi = {10.1007/s42979-023-01975-y},
	journal = {SN computer science (Online)},
	volume = {4},
	year = {2023}
}