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

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

作者机构: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 

出 版 物:《Journal of Computer and Communications》 (电脑和通信(英文))

年 卷 期:2022年第10卷第4期

页      面:1-13页

学科分类:08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置] 

主  题:Robotic Arms Remote Control Systems Cyber Attacks BASE Snort Security Protection 

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.

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