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  4. Cyberattack Impact Reduction using Software-Defined Networking for Cyber-Physical Production Systems
 
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2022
Conference Paper
Title

Cyberattack Impact Reduction using Software-Defined Networking for Cyber-Physical Production Systems

Abstract
Cyberattacks on cyber-physical production systems lead to manipulation of the physical process and pose a serious threat to machines and employees. Preventing cyberattacks and reducing their negative impact is an important aspect of security. This paper presents an approach to reduce the impact of cyberattacks. The approach uses software-defined networking (SDN) in combination with network metrics. The network metrics enable measuring the impact of cyberattacks and the impact reduction by the SDN approach. The SDN approach utilizes four different prevention techniques as countermeasures. Scenarios from discrete manufacturing are used to evaluate the approach. The approach reduces the average impact of the selected cyber-attacks from 82.9% to 98.1%.
Author(s)
Specht, Felix  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Otto, Jens  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Eickmeyer, Jens  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Mainwork
IEEE 20th International Conference on Industrial Informatics, INDIN 2022  
Conference
International Conference on Industrial Informatics 2022  
DOI
10.1109/indin51773.2022.9976140
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
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