Traditional methods for intrusion detection often rely on signature-based algorithms, which can be easily bypassed by sophisticated adversaries. To address this challenge, researchers have proposed ARPCE, a novel system that leverages machine learning techniques to detect anomalous activities in real time. ARPCE employs a multi-layered approach tha