An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository
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DOI: 10.1109/access.2024.3506663
Abstract: 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… read more here.
Keywords: malicious docker; docker images; random forest; machine learning ... See more keywords