Название: Power Systems Cybersecurity: Methods, Concepts, and Best PracticesАвтор: Hassan Haes Alhelou, Nikos Hatziargyriou, Zhao Yang Dong
Издательство: Springer
Год: 2023
Страниц: 463
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB
This book covers power systems cybersecurity. In order to enhance overall stability and security in wide-area cyber-physical power systems and defend against cyberattacks, new resilient operation, control, and protection methods are required. The cyberattack-resilient control methods improve overall cybersecurity and stability in normal and abnormal operating conditions. By contrast, cyberattack-resilient protection schemes are important to keep the secure operation of a system under the most severe contingencies and cyberattacks. The main subjects covered in the book are: 1) proposing new tolerant and cyberattack-resilient control and protection methods against cyberattacks for future power systems, 2) suggesting new methods for cyberattack detection and cybersecurity assessment, and 3) focusing on practical issues in modern power systems. Three Machine Learning (ML) methods Random Forest (RF), Logistic Regression (LR), and K-nearest neighbors (KNN) - as well as one Deep Learning (DL) method-SDAE - are dynamically compared in terms of F1 - score and accuracy. After the completion of the retraining process, the best-performing model replaces the existing one and labels the incoming data.
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