A DoS Attacks Detection Aglorithm Based on Snort-BASE for Robotic Arm Control Systems  

作　　者：Nana Li Yong Wang Pengfei Shen Shuangfei Li Lin Zhou Nana Li;Yong Wang;Pengfei Shen;Shuangfei Li;Lin Zhou(College of Science, Shanghai University of Electric Power, Shanghai, China;IBM (China) Investment Co. Ltd., Shanghai, China;Shanghai Cloud Sword Information Technology Co. Ltd, Shanghai, China)

机构地区：[1]College of Science, Shanghai University of Electric Power, Shanghai, China [2]IBM (China) Investment Co. Ltd., Shanghai, China [3]Shanghai Cloud Sword Information Technology Co. Ltd, Shanghai, China

出　　处：《Journal of Computer and Communications》2022年第4期1-13,共13页电脑和通信（英文）

摘　　要：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.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.

关 键 词：Robotic Arms Remote Control Systems Cyber Attacks BASE SNORT Security Protection 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]