QuadFusion-IDS: Enhancing Intrusion Detection with Unified Hybrid Deep and Machine Learning Techniques in Cybersecurity Systems
As network traffic becomes increasingly complex and cyberattack behaviors continue to evolve, conventional intrusion detection approaches face challenges in accurately identifying malicious and legitimate network activities. This study proposes QuadFusion-IDS, a hybrid binary intrusion detection framework that integrat...