Muhammad Arsalan

Adaptive Anomaly Detection for Identifying Emerging Cybersecurity Threats in Networked Systems

This study focused on developing and evaluating an adaptive anomaly detection framework for identifying emerging cybersecurity threats through network traffic analysis, feature extraction, machine learning classification, and concept drift adaptation, and integrating adaptive learning and concept drift management into...