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Institute for Data and Process Science

A Semantic Security Model for Cyber-Physical Systems to identify and evaluate potential Threats and Vulnerabilities

Autoren

Andreas Aigner
Prof. Dr. Abdelmajid Khelil

Medien

Proc. of The 7th International Conference on Internet of Things, Big Data and Security (IoTBDS)

Veröffentlichungsjahr

2022

Herausgeber

INSTICC

Veröffentlichungsart

Konferenzbeitrag

DOI

https://doi.org/10.5220/0011086300003194

Zitierung

Aigner, Andreas; Khelil, Abdelmajid (2022): A Semantic Security Model for Cyber-Physical Systems to identify and evaluate potential Threats and Vulnerabilities. Proc. of The 7th International Conference on Internet of Things, Big Data and Security (IoTBDS). DOI: 10.5220/0011086300003194

Institute for Data and Process Science

A Semantic Security Model for Cyber-Physical Systems to identify and evaluate potential Threats and Vulnerabilities