Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability

The integration of information and communication technologies into modern power systems has contributed to enhanced efficiency, controllability, and voltage regulation. Concurrently, these technologies expose power systems to cyberattacks, which could lead to voltage instability and significant dama...

詳細記述

書誌詳細

出版年:	IEEE Open Access Journal of Power and Energy
主要な著者:	Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Cybersecurity voltage regulation graph autoencoder voltage stability false data injection attacks bad data intrusion
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10824826/