IMPLEMENTATION OF CLOUD BASED DATA TRAFFIC MONITORING SYSTEM ON STANDALONE 5G NETWORK

• Main Author: Aditya, Jeremy
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/87853
• Institution: Institut Teknologi Bandung

The advancement of 5G network technology provides extremely fast data transfer speeds, enabling the development of modern applications and services. However, this progress also comes with significant security risks. Particularly the potential misuse of networks for illegal activities such as cybercrime and terrorism. As a result, there is a need for an effective solution to monitor and analyse data traffic from user devices. This study focuses on developing and implementing a cloud-based system to monitor user data traffic specifically on standalone 5G networks. The methods used include implementing the 5G network architecture, implementing monitoring mechanisms, and analysing traffic data to identify critical information. The system is capable of detecting the IMSI (International Mobile Subscriber Identity) of devices connected to the network. It also tracks user data traffic, including the domains visited, the target server locations, and communication patterns. All this information is presented through a cloud-based dashboard that can be accessed from various devices with an internet connection. The testing phase showed that the system effectively provides real-time and accurate data traffic insights. Its dashboard visualization makes it easier to analyse data and respond quickly in critical situations. By implementing this system, it is expected to improve the security of standalone 5G networks, support cybercrime prevention, and create a safer and more controlled network and social environment.