Emerging technologies are facilitating our daily activities and drive the digital transformation. The Internet of Things (IoT) and 5G communications will provide a wide range of new applications and business opportunities, but with a wide and quite complex attack surface. Several users are not aware of the underlying threats and most of them do not possess the knowledge to set and operate the various digital assets securely. Therefore, cyber security training is becoming mandatory both for simple users and security experts. Cyber ranges constitute an advance training technique where trainees gain hands-on experiences on a safe virtual environment, which can be a realistic digital twin of an actual system. This paper presents the cyber ranges platform THREAT-ARREST. Its design is fully model-driven and offers all modern training features (i.e. emulation, simulation, serious games, and fabricated data). The platform has been evaluated under the smart energy, intelligent transportation, and healthcare domains.

The THREAT-ARREST Cyber Range Platform / G. Hatzivasilis, S. Ioannidis, M. Smyrlis, G. Spanoudakis, F. Frati, C. Braghin, E. Damiani, H. Koshutanski, G. Tsakirakis, T. Hildebrandt, L. Goeke, S. Pape, O. Blinder, M. Vinov, G. Leftheriotis, M. Kunc, F. Oikonomou, G. Magilo, V. Petrarolo, A. Chieti, R. Bordianu - In: 2021 IEEE International Conference on Cyber Security and Resilience (CSR)[s.l] : IEEE, 2021. - ISBN 978-1-6654-0285-9. - pp. 422-427 (( convegno International Conference on Cyber Security and Resilience (CSR) tenutosi a Rhodes nel 2021 [10.1109/CSR51186.2021.9527963].

The THREAT-ARREST Cyber Range Platform

F. Frati;C. Braghin;E. Damiani;
2021

Abstract

Emerging technologies are facilitating our daily activities and drive the digital transformation. The Internet of Things (IoT) and 5G communications will provide a wide range of new applications and business opportunities, but with a wide and quite complex attack surface. Several users are not aware of the underlying threats and most of them do not possess the knowledge to set and operate the various digital assets securely. Therefore, cyber security training is becoming mandatory both for simple users and security experts. Cyber ranges constitute an advance training technique where trainees gain hands-on experiences on a safe virtual environment, which can be a realistic digital twin of an actual system. This paper presents the cyber ranges platform THREAT-ARREST. Its design is fully model-driven and offers all modern training features (i.e. emulation, simulation, serious games, and fabricated data). The platform has been evaluated under the smart energy, intelligent transportation, and healthcare domains.
security training; cyber range; security assurance; learning path; security assessment; smart energy; smart shipping; healthcare
Settore INF/01 - Informatica
H20_RIA18EDAMI_01 - THREAT-ARREST Cyber Security Threats and Threat Actors Training - Assurance Driven Multi-Layer, end-to-end Simulation and Training (THREAT-ARREST) - FRATI, FULVIO - H20_RIA - Horizon 2020_Research & Innovation Action/Innovation Action - 2018
H20_RIA19EDAMI_01 - Cyber security cOmpeteNce fOr Research anD Innovation (CONCORDIA) - DAMIANI, ERNESTO - H20_RIA - Horizon 2020_Research & Innovation Action/Innovation Action - 2019
IEEE
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/866502
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