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...

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Detalles Bibliográficos
Autores principales: Islam, M. S., Ivanov, S., Awan, H., Drohan, J., Balasubramaniam, S., Coffey, L., Kidambi, S., Sri-saan, W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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