New Findings from Nanjing University of Science and Technology in the Area of Ma chine Learning Described (Localization of Coordinated Cyber-Physical Attacks in Power Grids Using Moving Target Defense and Machine Learning)
New Findings from Nanjing University of Science and Technology in the Area of Ma chine Learning Described (Localization of Coordinated Cyber-Physical Attacks in Power Grids Using Moving Target Defense and Machine Learning)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Nanjing, Pe ople's Republic of China, by NewsRx correspondents, research stated, "Coordinate d cyber-physical attacks (CCPAs) are dangerously stealthy and have considerable destructive effects against power grids." The news correspondents obtained a quote from the research from Nanjing Universi ty of Science and Technology: "The problem of stealthy CCPA (SCCPA) localization , specifically identifying disconnected lines in attack, is a nonlinear multi-cl assification problem. To the best of our knowledge, only one paper has studied t he problem; nevertheless, the total number of classifications is not appropriate . In the paper, we propose several methods to solve the problem of SCCPA localiz ation. Firstly, considering the practical constraints and abiding by one of our previous studies, we elaborately determine the total number of classifications a nd design an approach for generating training and testing datasets. Secondly, we develop two algorithms to solve multiple classifications via the support vector machine (SVM) and random forest (RF), respectively."
Key words
Nanjing University of Science and Techno logy/Nanjing/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning
NETL
NSTL