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 wheth...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10768874/ |
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