COMPREHENSIVE EXAMINATION OF CYBERSECURITY THREATS AND VULNERABILITIES IN 5G NETWORKS: EXPLORING EMERGING RISKS, ADVANCED ATTACK VECTORS, AND CUTTING-EDGE MITIGATION STRATEGIES FOR FUTURE-READY SECURITY ARCHITECTURES

Abstract

The telecoms industry expects 5G network systems to change everything through ultra-fast connections with tiny delays and by connecting IoT items directly to edge computing platforms.  The system's protection depends on recognizing and fixing new security risks that come with 5G network advancements.  Our safety method focuses on creating secure next-generation cell phone networks through examination of today's security risks and procedures. 5G network security faces its greatest challenge from the weak spots created by network slicing and edge computing.  The danger of security flaws increases when network segments are mismanaged because hackers can exploit this weakness through DoS probes or by setting up MitM attacks.  Edge computing security weak points would develop since this technology spreads its operations across many locations.  Our research shows how enhancing 5G network security can work through multiple security updates including split network deployments alongside AI detection systems and enhanced protection strategies.  Our security measures combine to decrease possible threats and protect the network when put in place.  Our solution combines advanced technology with new security elements by using modern learning models and quantum cryptography.  The secure technology of quantum key distribution enables excellent encryption defense but machine learning stays ahead of new threats through its updates. The plan delivers trustworthy and adaptable security methods that protect 5G systems while staying operational.  Our methods ensure 5G systems stay safe and operational even when cyberthreats change by relying on these technologies.