首页|Reports Outline Robotics and Automation Study Results from Georgia Institute of Technology (Affine Transformation-based Perfectly Undetectable False Data Inject ion Attacks On Remote Manipulator Kinematic Control With Attack Detector)
Reports Outline Robotics and Automation Study Results from Georgia Institute of Technology (Affine Transformation-based Perfectly Undetectable False Data Inject ion Attacks On Remote Manipulator Kinematic Control With Attack Detector)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics - Robotics and Automation. According to news reporting out of Atlanta, Ge orgia, by NewsRx editors, research stated, "This letter demonstrates the viabili ty of perfectly undetectable affine transformation attacks against robotic manip ulators where intelligent attackers can inject multiplicative and additive false data while remaining completely hidden from system users." Financial support for this research came from National Science Foundation (NSF). Our news journalists obtained a quote from the research from the Georgia Institu te of Technology, "The attacker can implement these communication line attacks b y satisfying three Conditions presented in this work. These claims are experimen tally validated on a FANUC 6 of freedom manipulator by comparing a nominal (non- attacked) trial and a detectable attack case against three perfectly undetectabl e trajectory attack Scenarios: scaling, reflection, and shearing."
AtlantaGeorgiaUnited StatesNorth a nd Central AmericaRobotics and AutomationRoboticsGeorgia Institute of Tech nology
NETL
NSTL
