Year: 2025
Type: article
Abstract: As 5G networks continue to evolve, emerging security challenges necessitate a more rigorous evaluation of their security mechanisms, particularly within core functions such as the Access and Mobility Management Function (AMF) and disaggregated gNodeB (gNB). 5G’s virtualized architecture represents a significant increase in complexity compared to pre-4G network architectures, and its software-based architecture necessitates enhanced security. This study investigates security challenges in protocol design, device integration, and virtualized infrastructure, drawing on 3GPP specifications and vulnerabilities observed in early 5G deployments. By examining the effectiveness of fundamental security measures such as encryption, integrity protection, and replay prevention, we also conduct a comprehensive and systematic assessment of 5G deployments in terms of resilience. To enhance security, this paper also explores the anomaly-detection and adaptive-response capabilities of automated, AI-driven threat detection systems, as well as ways to improve real-time monitoring. The goal is to address these technical vulnerabilities and practical implementation challenges systematically. The primary purpose of this research is to enhance the security of 5G networks and ensure they can withstand increasingly sophisticated cyber threats.
Source: Computing&AI Connect
Authors: Yi-Hsueh Tsai, Shiang-Jiun Chen
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4416952387