A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future

M Ghiasi, T Niknam, Z Wang, M Mehrandezh… - Electric Power Systems …, 2023 - Elsevier
Due to the advancement in communication networks, metering and smart control systems,
as well as the prevalent use of Internet-based structures, new forms of power systems have …

A review on digital twin technology in smart grid, transportation system and smart city: Challenges and future

M Jafari, A Kavousi-Fard, T Chen, M Karimi - IEEE Access, 2023 - ieeexplore.ieee.org
With recent advances in information and communication technology (ICT), the bleeding
edge concept of digital twin (DT) has enticed the attention of many researchers to …

Detection of false data injection attacks in smart grid: A secure federated deep learning approach

Y Li, X Wei, Y Li, Z Dong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber
attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one …

Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things

J Zhang, D Tao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

Develo** future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges

K Ahmad, M Maabreh, M Ghaly, K Khan, J Qadir… - Computer Science …, 2022 - Elsevier
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …

Smart grid cyber-physical situational awareness of complex operational technology attacks: A review

MN Nafees, N Saxena, A Cardenas, S Grijalva… - ACM Computing …, 2023 - dl.acm.org
The smart grid (SG), regarded as the complex cyber-physical ecosystem of infrastructures,
orchestrates advanced communication, computation, and control technologies to interact …

A survey on deep learning for cybersecurity: Progress, challenges, and opportunities

M Macas, C Wu, W Fuertes - Computer Networks, 2022 - Elsevier
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

Edge AI for Internet of Energy: Challenges and perspectives

Y Himeur, AN Sayed, A Alsalemi, F Bensaali, A Amira - Internet of Things, 2024 - Elsevier
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …

Applications of deep learning for phishing detection: a systematic literature review

C Catal, G Giray, B Tekinerdogan, S Kumar… - … and Information Systems, 2022 - Springer
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …

A review on application of artificial intelligence techniques in microgrids

E Mohammadi, M Alizadeh… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …