Design of Network Attack and Defense Experimental Platform for ROS-Based Wheeled Robots
Currently,as one of the hot applications in artificial intelligence technology domains,the cyber security issues of wheeled mobile robots have garnered considerable attention.However,due to limiting factors such as the lack of general experimental platforms,the complexity of algorithms and the brief duration of the Internet of Things(IoT)technology development,advanced cyber security skills are often confined to research teams,making it challenging to disseminate them into university teaching practices.A wheeled robot cyber attack and defense experimental platform based on ROS(Robot Operating System)is proposed in this paper.For the first time,the platform attempts to combine cyber offense and defense with autonomous driving technology.It employs a hierarchical,modular design methodology focusing on the two main themes of"autonomous driving"and"attack-defense confrontation".The platform is also equipped with an integrated software and hardware system and a complete set of solutions.By integrating knowledge from multiple disciplines such as robot design,automatic control,artificial intelligence,computer networks,and cyber security,this platform aims to fill the void in existing robotic cyber security educational experiment platforms,enabling students to learn cyber security skills within the teaching platform and promoting educational innovation and practice in this field.
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