An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository

The number of exploits of Docker images involving the injection of adversarial behaviors into the image’s layers is increasing immensely. Docker images are a fundamental component of Docker. Therefore, developing a machine learning classifier that effectively predicts and classifies whether a...

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Bibliografiske detaljer

Principais autores:	Maram Aldiabat, Qussai M. Yaseen, Qusai Abu Ein
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Docker Docker images Docker containers machine learning malware detection
Online adgang:	https://ieeexplore.ieee.org/document/10768874/
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