An Intelligent Hybrid Intrusion Detection and Prevention System for Threat Mitigation in High Bandwidth 5G/6G Network

Fifth Generation (5G) and the impending Sixth Generation (6G) wireless communications revolutionize modern wireless communication with their record-breaking data speeds, low latency, and wide-ranging device connections. Standard Intrusion Detection and Prevention Systems are ineffective in toxic security situations, which are brought on by current developments. In addition to anomaly-detection and signature-matching systems, this presents a new IDS and IPS system that leverages deep learning artificial intelligence to maximize high-speed network protection. The suggested approach is built on Software-Defined Networking, which enables dynamic security policy enforcement and quick threat responses. According to evaluation criteria of processing speed and detection accuracy with low false positive occurrence rates, the integrated solution performs optimally for securing next-generation mobile networks.