Abstract: Software-defined networks (SDNs) face significant challenges from link flooding attacks (LFAs), where malicious bots flood towards a limited number of hidden hosts, known as decoys, at a low ...
An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository
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.
A comprehensive machine learning platform that predicts student dropout risk using dual algorithms (Random Forest & XGBoost with SMOTE) and provides personalized, data-driven support recommendations ...
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