An analysis of security vulnerabilities in container images for scientific data analysis

BACKGROUND: Software containers greatly facilitate the deployment and reproducibility of scientific data analyses in various platforms. However, container images often contain outdated or unnecessary software packages, which increases the number of security vulnerabilities in the images, widens the...

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Detalles Bibliográficos
Autores principales: Kaur, Bhupinder, Dugré, Mathieu, Hanna, Aiman, Glatard, Tristan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173661/
https://www.ncbi.nlm.nih.gov/pubmed/34080631
http://dx.doi.org/10.1093/gigascience/giab025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173661/
https://www.ncbi.nlm.nih.gov/pubmed/34080631
http://dx.doi.org/10.1093/gigascience/giab025

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