Digitalization in response to carbon neutrality: Mechanisms, effects and prospects
J Ma, L Yang, D Wang, Y Li, Z Xie, H Lv… - … and Sustainable Energy …, 2024 - Elsevier
Digitalization has unfolded great opportunities for its ability to promote carbon neutrality.
Nevertheless, it is still in a nascent stage enduring uncertainties due to the lack of clear …
Nevertheless, it is still in a nascent stage enduring uncertainties due to the lack of clear …
[HTML][HTML] Deep learning for intelligent demand response and smart grids: A comprehensive survey
Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …
and issues in the transmission of electricity through the traditional grid, the concepts of smart …
[HTML][HTML] A review on machine learning techniques for secured cyber-physical systems in smart grid networks
The smart grid (SG) is an advanced cyber-physical system (CPS) that integrates power grid
infrastructure with information and communication technologies (ICT). This integration …
infrastructure with information and communication technologies (ICT). This integration …
[HTML][HTML] Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions
D Javeed, MS Saeed, I Ahmad, M Adil, P Kumar… - Future Generation …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized various sectors by enabling
seamless device interaction. However, the proliferation of IoT devices has also raised …
seamless device interaction. However, the proliferation of IoT devices has also raised …
Edge AI for Internet of Energy: Challenges and perspectives
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 …
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …
The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
N Abdi, A Albaseer, M Abdallah - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
As smart grids (SGs) increasingly rely on advanced technologies like sensors and
communication systems for efficient energy generation, distribution, and consumption, they …
communication systems for efficient energy generation, distribution, and consumption, they …
[HTML][HTML] Smart grids: A comprehensive survey of challenges, industry applications, and future trends
With the increasing energy demands of the 21st century, there is a clear need for developing
a more sustainable method of energy generation, distribution, and transmission. Modern …
a more sustainable method of energy generation, distribution, and transmission. Modern …
Foggier skies, clearer clouds: A real-time IoT-DDoS attack mitigation framework in fog-assisted software-defined cyber-physical systems
M Snehi, A Bhandari, J Verma - Computers & Security, 2024 - Elsevier
Introduction The convergence of the Internet of Anything (IoX), software-defined
communication layer, and sophisticated cloud platform has steered the dawn of the fourth …
communication layer, and sophisticated cloud platform has steered the dawn of the fourth …
[HTML][HTML] A federated learning-based zero trust intrusion detection system for Internet of Things
The rapid expansion of Internet of Things (IoT) devices presents unique challenges in
ensuring the security and privacy of interconnected systems. As cyberattacks become more …
ensuring the security and privacy of interconnected systems. As cyberattacks become more …
Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS
Abstract Industrial Cyber-Physical Systems (ICPSs) are becoming more and more
networked and essential to modern infrastructure. This has led to an increase in the …
networked and essential to modern infrastructure. This has led to an increase in the …