This article (originally published Aug. 13, 2025) has been updated to include new text and illustrations featured in the Jan.
That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
Abstract: This study explores AI-powered anomaly detection to secure academic digital library access via Virtual Private Networks (VPNs). A three-model framework One-Class SVM, Isolation Forest, and ...