FASNet: Federated adversarial Siamese networks for robust malware image classification
Malware detection faces considerable challenges due to the ever-evolving and complex nature of cyber threats. Various deep learning models have demonstrated effectiveness in identifying malware within organizations. However, developing a reliable distributed malware detection model using diverse dat...
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Published in | Journal of parallel and distributed computing Vol. 198; p. 105039 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.04.2025
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Subjects | |
Online Access | Get full text |
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