首页|Study Results from Department of Electronics and Communication Broaden Understan ding of Machine Learning (Real-time Implementation of Iot-enabled Cyberattack De tection System In Advanced Metering Infrastructure Using Machine Learning Techni que)
Study Results from Department of Electronics and Communication Broaden Understan ding of Machine Learning (Real-time Implementation of Iot-enabled Cyberattack De tection System In Advanced Metering Infrastructure Using Machine Learning Techni que)
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
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Tamil Nadu, India, by NewsRx jo urnalists, research stated, “The integration of the Internet ofThings (IoT) and MultiFunction Energy Meter into the power grid underscores the critical need fo r robustcybersecurity measures to manage data effectively. Ensuring the accurac y and integrity of data transmittedand stored by smart meters is imperative for maintaining the reliability of the entire energy grid.”
Tamil NaduIndiaAsiaCybersecurityCyborgsEmerging TechnologiesMachine LearningDepartment of Electronics and Communication
NETL
NSTL
