Security Implications and Mitigation Strategies in 5G Networks

Abstract

The rapid deployment of 5G networks promises to revolutionize communication, connectivity, and the Internet of Things (IoT), however, creates new challenges to security that need to be countered in order that these networks could be safely and reliably operated. This paper is based on comprehensive literature review of network slicing, advance encryption techniques, robust authentication protocols, and resilient network architecture relating to vulnerabilities and risks 5Gcybersecurity implication. Key findings are: one should be able to apply deep learning models, CNNs, or LSDM networks and even the hybrid approaches in order to come up with more efficient real-time monitoring and adaptive threat detection. The integration of AI and IoT with 5G networks enhances security capabilities further through automated response and dynamic optimization. However, scalability, computational overhead, and lack of standardized protocols remain the biggest concern despite developments. Some critical research gaps are identified by the review: the need for complete security standards and testing frameworks on continuous basis. It further draws the call for collaboration across the world to establish best practice that will allow the secure and efficient utilization of 5G technologies.