Security Monitoring in the Next-Generation Cellular Networks: Procedures, Obstacles and AI- Based Technologies

The fast expansion of 5G as well as Wi-Fi connectivity has created fresh privacy concerns, notably in the area of intrusion detection. Traditional safety measures are unable to address the changing and varied character of these platforms. This study provides a detailed assessment of the intrusion detection technologies used in 5G will and Wi-Fi connectivity, including their efficacy, limits, and potential next steps. We compare conventional strategies, contemporary machine learning-based approaches, and anomaly detection algorithms. The study also discusses the difficulty of detecting attacks in such systems and suggests viable solutions. Moreover, we assess the accuracy of several reconnaissance algorithms using current comparative studies.