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Digital twins in intrusion detection systems based on deep learning

This work aims to improve the accuracy of attack detection in software and hardware systems by utilizing a digital twin in the form of an algebraic model within intrusion detection systems (IDSs) based on deep learning neural networks (DNNs). This approach addresses the shortcomings of training and...

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Bibliographic Details
Date:	2025
Main Authors:	Letychevskyi, O.O., Yevdokymov, S.O.
Format:	Article
Language:	English
Published:	PROBLEMS IN PROGRAMMING 2025
Subjects:	deep learning neural network neurosymbolic approach digital twins behavior algebra UDC 004.056
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/834
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Journal Title:	Problems in programming
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