Security risk modeling in smart grid critical infrastructures in the era of big data and artificial intelligence
Smart grids (SG) emerged as a response to the need to modernize the electricity grid. The
current security tools are almost perfect when it comes to identifying and preventing known …
current security tools are almost perfect when it comes to identifying and preventing known …
[HTML][HTML] Countermeasures and their taxonomies for risk treatment in cybersecurity: A systematic mapping review
ID Sánchez-García, TSF Gilabert… - Computers & Security, 2023 - Elsevier
Cybersecurity continues to be one of the principal issues in the computing environment.
Organizations and researchers have made various efforts to mitigate the risks of cyberspace …
Organizations and researchers have made various efforts to mitigate the risks of cyberspace …
Survey on enterprise Internet-of-Things systems (E-IoT): A security perspective
As technology becomes more widely available, millions of users worldwide have installed
some form of smart device in their homes or workplaces. These devices are often off-the …
some form of smart device in their homes or workplaces. These devices are often off-the …
Z-iot: Passive device-class fingerprinting of zigbee and z-wave iot devices
In addition to traditional networking devices (eg, gateways, firewalls), current corporate and
industrial networks integrate resource-limited Internet of Things (IoT) devices like smart …
industrial networks integrate resource-limited Internet of Things (IoT) devices like smart …
Dfedforest: Decentralized federated forest
The effectiveness of machine learning systems depends heavily on the relevance of the
training data. Usually, the collected data is sensitive and private because it comes from …
training data. Usually, the collected data is sensitive and private because it comes from …
Machine learning in generation, detection, and mitigation of cyberattacks in smart grid: A survey
Smart grid (SG) is a complex cyber-physical system that utilizes modern cyber and physical
equipment to run at an optimal operating point. Cyberattacks are the principal threats …
equipment to run at an optimal operating point. Cyberattacks are the principal threats …
A machine learning approach for anomaly detection to secure smart grid systems
The rapid industrial growth in cyber-physical systems has led to upgradation of the
traditional power grid into a network communication infrastructure. The benefits of …
traditional power grid into a network communication infrastructure. The benefits of …
CPS device-class identification via behavioral fingerprinting: from theory to practice
Cyber-Physical Systems (CPS) utilize different devices to collect sensitive data,
communicate with other systems, and monitor essential processes in critical infrastructure …
communicate with other systems, and monitor essential processes in critical infrastructure …
A system-level behavioral detection framework for compromised CPS devices: Smart-grid case
Cyber-Physical Systems (CPS) play a significant role in our critical infrastructure networks
from power-distribution to utility networks. The emerging smart-grid concept is a compelling …
from power-distribution to utility networks. The emerging smart-grid concept is a compelling …
Anomaly detection in smart grids using machine learning
PKR Shabad, A Alrashide… - IECON 2021–47th …, 2021 - ieeexplore.ieee.org
Smart grid data can be analyzed for detecting abnormalities in many different areas such as
cybersecurity, fault detection, electricity theft, etc. There is a strong case for the use of …
cybersecurity, fault detection, electricity theft, etc. There is a strong case for the use of …