Packet Continuity DDoS Attack Detection for Open Fronthaul in ORAN System

This study develops a deep learning-based Intrusion Detection System (IDS) for the Open Fronthaul (OFH) interface in Open Radio Access Network (O-RAN) architecture, focusing on detecting and mitigating Distributed Denial of Service (DDoS) attacks. It aims to enhance O-RAN network security, particularly in the CUS-Plane of the OFH interface, by employing advanced deep learning techniques for threat prediction and prevention. The research contributes practical insights and solutions to improve the security resilience of O-RAN's open architecture.