In this paper analyzes data on security threats for the safe operation of intelligent robots, one of the key engines of 5G-based industrial convergence, and examines countermeasures. The experiment was conducted based on various scenarios with potential security threats, introducing the necessity of responding to vulnerabilities against security threats, explaining the establishment of a security response system. Through comparative analysis of normal and abnormal data, we provide a review of the results of experimental analysis to prepare a response system through tracking and management of malicious intrusion targets.
This work was supported by the Institute of Information & Communications Technology Planning & Evaluation(IITP) grant funded by the Korea government(MSIT) (No. RS-2024-00397469, Development of Private 5G Security Technology for Integrated Private 5G and Enterprise Network Security)
