Author(s)

Nana Li¹, Yong Wang¹, Pengfei Shen², Shuangfei Li³, Lin Zhou¹

¹College of Science, Shanghai University of Electric Power, Shanghai, China.
²IBM (China) Investment Co. Ltd., Shanghai, China.
³Shanghai Cloud Sword Information Technology Co. Ltd, Shanghai, China.

In response to the frequent safety accidents of industrial robots, this paper designs and implements a safety detection system for robot control. It can perform real-time security detection of robot operations on industrial production lines to improve the security and reliability of robot control systems. This paper designs and implements a robot control system based Snort-BASE for real-time online detection of DoS attacks. The system uses a six-degree-of-freedom robotic arm as an example, uses Snort to record the network communication data of the robot arm control system in real time, and filters the network traffic through self-defined rules, and then uses the BASE analysis platform to achieve security analysis of the network traffic. The solution verifies the effectiveness of online real-time detection of attacks and visualisation of attack records by designing simulated robotic arm and real robotic arm attack experiments respectively, thus achieving the security of network communication of the robot remote control system.

Robotic Arms, Remote Control Systems, Cyber Attacks, BASE, Snort, Security Protection

Li, N. , Wang, Y. , Shen, P. , Li, S. and Zhou, L. (2022) A DoS Attacks Detection Aglorithm Based on Snort-BASE for Robotic Arm Control Systems. Journal of Computer and Communications, 10, 1-13. doi: 10.4236/jcc.2022.104001.