@inproceedings{4123fb98532a4ac88a041c0f046dfcdc,
title = "Anomaly Detection in Smart Grids: A Survey from Cybersecurity Perspective∗",
abstract = "Smart grid is the next generation for power generation, consumption and distribution. However, with the introduction of smart communication in such sensitive components, major risks from cybersecurity perspective quickly emerged. This survey reviews and reports on the state-of-the-art techniques for detecting cyber attacks in smart grids, mainly through machine learning techniques.",
keywords = "Anomaly detection, Attack Surface, Energy Theft, Power Consumption, Smart Grid",
author = "Alkuwari, \{Ahmad N.\} and Saif Al-Kuwari and Marwa Qaraqe",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 ; Conference date: 20-03-2022 Through 22-03-2022",
year = "2022",
doi = "10.1109/SGRE53517.2022.9774221",
language = "English",
series = "3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "3rd International Conference On Smart Grid And Renewable Energy (sgre)",
address = "United States",
}