首页|New Findings from Beijing Information Science and Technology University in the A rea of Robotics Described (A Trustworthy Security Model for Iiot Attacks On Indu strial Robots)

New Findings from Beijing Information Science and Technology University in the A rea of Robotics Described (A Trustworthy Security Model for Iiot Attacks On Indu strial Robots)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s. According to news reporting originating from Beijing,People's Republic of Ch ina,by NewsRx correspondents,research stated,"The security of industrial Inte rnet of Things (IIOT) has recently attracted significant attention. As typical I IoT systems,industrial robots are suffering from lots of threats involving cont rol,communication,and computing,which are difficult to detect IIoT attacks ac curately in real-time due to resource constraints." Financial supporters for this research include Beijing Natural Science Foundatio n,Beijing Municipal Education Commission 2023 Research Program General Project Foundation. Our news editors obtained a quote from the research from Beijing Information Sci ence and Technology University,"How to efficiently and accurately identify IoT attacks on industrial robots is challenging. To address this,we propose a trust worthy security model (TSM) with a fusion design that integrates an improved dee p Q-network (IDQN) and a control model,thus accelerating the model training pro cess by reducing the network traversal space and improving detection accuracy by establishing a prejudgment mechanism. We initially provide a detailed overview of existing methods for robot security and derive a robot control model consisti ng of kinematics and kinetic. Then,a 17-labeled dataset named iRobot security d ataset is established to train the TSM. Moreover,we established a robot physica l platform to evaluate the performance of TSM,and five cyber security indicator s are employed to quantify the performance."

BeijingPeople's Republic of ChinaAsi aCybersecurityEmerging TechnologiesMachine LearningNano-robotRobotRo boticsBeijing Information Science and Technology University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Mar.29)