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...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Maram Aldiabat, Qussai M. Yaseen, Qusai Abu Ein
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Docker Docker images Docker containers machine learning malware detection
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10768874/