首页|Data on Machine Learning Discussed by a Researcher at North China Electric Power University (DDoS attack detection in smart grid network using reconstructive machine learning models)
Data on Machine Learning Discussed by a Researcher at North China Electric Power University (DDoS attack detection in smart grid network using reconstructive machine learning models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Network attackspose a significant challenge for smart grid networks, mainly due to the existence of several multi-directionalcommunication devices coupling consumers to the grid. One of the network attacks that can affect thesmart grid is the distributed denial of service (DDoS), where numerous compromised communication devices/nodes of the grid flood the smart grid network with false data and requests, leading to disruptionsin smart meters, data servers, and the state estimator, ultimately effecting the services for end-users.”
North China Electric Power UniversityBeijingPeople’s Republic of ChinaAsiaCybersecurityCyborgsEmerging TechnologiesMachine Learning
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