首页|Researchers from University of California Los Angeles (UCLA) Report on Findings in Machine Learning (Integrating Machine Learning Detection and Encrypted Control for Enhanced Cybersecurity of Nonlinear Processes)
Researchers from University of California Los Angeles (UCLA) Report on Findings in Machine Learning (Integrating Machine Learning Detection and Encrypted Control for Enhanced Cybersecurity of Nonlinear Processes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Los Angeles, California, by NewsRx editors, research stated, “This study presents anencrypted two-tier control architecture integrated with a machine learning (ML) based cyberattack detectorto enhance the operational safety, cyber-security, and performance of nonlinear processes. The upper tierof this architecture employs an encrypted nonlinear Lyapunov-based model predictive controller (LMPC)to enhance closed-loop performance, while the lower tier utilizes an encrypted set of linear controllers tostabilize the process.”
Los AngelesCaliforniaUnited StatesNorth and Central AmericaCybersecurityCyborgsEmerging TechnologiesMachine LearningUniversity of California Los Angeles (UCLA)
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