SafecareOnto: A Cyber-Physical Security Ontology for Healthcare Systems
| Autor: | Faten Atigui, Samira Si-Said Cherfi, Nadira Lammari, Fatma-Zohra Hannou |
|---|---|
| Přispěvatelé: | CEDRIC. Ingénierie des Systèmes d'Information et de Décision (CEDRIC - ISID), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université (HESAM)-HESAM Université (HESAM), This research received funding from the European Union’s H2020 Research and Innovation Action under SAFECARE Project, grant agreement no. 787002., European Project: 787002,SAFECARE, Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Knowledge representation and reasoning
Exploit healthcare systems Computer science Semantic modeling 02 engineering and technology Ontology (information science) impact propagation Computer security computer.software_genre [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] 020204 information systems 0202 electrical engineering electronic engineering information engineering Use case Asset management [INFO]Computer Science [cs] ontology cyber-physical security business.industry knowledge representation Cyber-physical system 020201 artificial intelligence & image processing business computer Physical security Healthcare system |
| Zdroj: | DEXA 2021 : Database and Expert Systems Applications DEXA 2021 : Database and Expert Systems Applications, Sep 2021, Linz (Virtual event), Australia. pp.22-34, ⟨10.1007/978-3-030-86475-0_3⟩ Lecture Notes in Computer Science Lecture Notes in Computer Science-Database and Expert Systems Applications Lecture Notes in Computer Science ISBN: 9783030864743 DEXA (2) |
| ISSN: | 0302-9743 1611-3349 |
| DOI: | 10.1007/978-3-030-86475-0_3⟩ |
| Popis: | This research received funding from the European Union’s H2020 Research and Innovation Action under SAFECARE Project, grant agreement no. 787002.; International audience; Vital to society, healthcare infrastructures are frequently subject to many threats that exploit their vulnerabilities. Many cyber and physical attacks are triggered, leading to many high-impact incidents. There is a growing need for innovative solutions that combine cyber and physical security features. To improve the response to incidents caused by attacks combining cyber and physical threats, we have produced within the H2020 project “Safecare”, an ontology-based solution. The Safecare ontology is designed to support an impact propagation model application, integrating cyber-physical interactions. In this paper, we present the different steps carried out to develop this ontology and two use cases on asset management and incident propagation. |
| Databáze: | OpenAIRE |
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