Automated Penetration Testing in 5G Networks

The evolution of wireless communication has seen successive generations of technology, each introducing significant advancements in connectivity, speed, and capability. Despite numerous advantages, modern cellular networks are susceptible to a myriad of potential security vulnerabilities. The landscape of cyber threats continually evolves, with new examples of cyberattacks emerging regularly. In light of these challenges, it is imperative to consistently update the cybersecurity systems of cellular networks. This paper proposes innovative architectural and software solutions for automating the testing of security systems in 5G cellular networks. To achieve this objective, several scientific problems were addressed, including the analysis of the existing architecture of security systems in 5G cellular networks, identification of the primary vulnerabilities in these systems, development of an architecture for an automated penetration testing system in 5G networks, selection of necessary software and hardware solutions for penetration testing, and the creation of pseudo-code to ensure system performance. However, it remains crucial to accurately define parameters presented in the paper, such as the number of base stations connected to the server and the scan period. It is noteworthy that efficiency issues persist in the proposed approach, and we acknowledge the need to address them in the future. Additionally, there is a consideration of leveraging artificial intelligence to automate the penetration testing process.