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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| Date: | 2025 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
PROBLEMS IN PROGRAMMING
2025
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| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/834 |
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| Journal Title: | Problems in programming |
| Download file: |  |