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

• Main Author: Nathanael Wijaya, Steven
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/87724
• Institution: Institut Teknologi Bandung

The rapid advancement of mobile technology has revolutionized communication and global connectivity, with 5G networks offering ultra-fast, low-latency, and secure connectivity that benefits sectors like healthcare, education, and economic. However, these advancements have also introduced new vulnerabilities. Extremist organizations have increasingly exploited cyberspace, utilizing encrypted platforms, social media, and bots for recruitment, propaganda, and attack coordination, as evidenced by reports from BNPT and JCAT. To mitigate these threats, this project aims to design a data traffic monitoring system for 5G networks. By detecting suspicious traffic patterns through advanced monitoring technologies and data analytics, the system seeks to identify potential threats and enhance national and international security. The design process of a cloud-based data traffic monitoring system on a 5G non-standalone network involves three main stages: building the 5G network, creating a monitoring system, and data processing. The 5G network is built using srsRAN platform with a configuration resembling commercial networks to ensure target devices can connect. The monitoring system is developed using Packetbeat to read and transmit network traffic data to Elastic Cloud, which is then displayed on a dashboard. Lastly, irrelevant data is filtered through a data processing stage on the dashboard. Testing results indicate that the implemented system shows promising performance, with the target IMSI retrieval time recorded at 92 microseconds, and domain information visited by each IMSI successfully obtained in real time. Additionally, the 5G network system can operate on low-specification laptops, with CPU utilization at only 12.1% and memory usage at 3.24 GB, making it an efficient and portable system.