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Data augmentation based malware detection using convolutional neural networks
Due to advancements in malware competencies, cyber-attacks have been broadly observed in the digital world. Cyber-attacks can hit an organization hard by causing several damages such as data breach, financial loss, and reputation loss. Some of the most prominent examples of ransomware attacks in his...
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| Veröffentlicht in: | PeerJ Comput Sci |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
PeerJ Inc.
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7924722/ https://ncbi.nlm.nih.gov/pubmed/33816996 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.346 |
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