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Using deep learning to detect digitally encoded DNA trigger for Trojan malware in Bio-Cyber attacks
This article uses Deep Learning technologies to safeguard DNA sequencing against Bio-Cyber attacks. We consider a hybrid attack scenario where the payload is encoded into a DNA sequence to activate a Trojan malware implanted in a software tool used in the sequencing pipeline in order to allow the pe...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186480/ https://www.ncbi.nlm.nih.gov/pubmed/35688914 http://dx.doi.org/10.1038/s41598-022-13700-5 |