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

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...

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Bibliographic Details
Main Authors: Krzysztof Zarzycki, Patryk Chaber, Krzysztof Cabaj, Maciej Ławryńczuk, Piotr Marusak, Robert Nebeluk, Sebastian Plamowski, Andrzej Wojtulewicz
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
cyber-security
cyber-attacks
LSTM neural networks
industrial control systems
SCADA
PLC
Online Access:https://www.mdpi.com/1424-8220/23/15/6778

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