Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study

This work is concerned with the vulnerability of a network industrial control system to cyber-attacks, which is a critical issue nowadays. This is because an attack on a controlled process can damage or destroy it. These attacks use long short-term memory (LSTM) neural networks, which model dynamica...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Krzysztof Zarzycki, Patryk Chaber, Krzysztof Cabaj, Maciej Ławryńczuk, Piotr Marusak, Robert Nebeluk, Sebastian Plamowski, Andrzej Wojtulewicz
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2023-07-01
Σειρά:	Sensors
Θέματα:	cyber-security cyber-attacks LSTM neural networks industrial control systems SCADA PLC
Διαθέσιμο Online:	https://www.mdpi.com/1424-8220/23/15/6778
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