Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms
In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
A survey on cybersecurity challenges, detection, and mitigation techniques for the smart grid
The world is transitioning from the conventional grid to the smart grid at a rapid pace.
Innovation always comes with some flaws; such is the case with a smart grid. One of the …
Innovation always comes with some flaws; such is the case with a smart grid. One of the …
Impact, vulnerabilities, and mitigation strategies for cyber-secure critical infrastructure
Several critical infrastructures are integrating information technology into their operations,
and as a result, the cyber attack surface extends over a broad range of these infrastructures …
and as a result, the cyber attack surface extends over a broad range of these infrastructures …
A comprehensive review of architecture, communication, and cybersecurity in networked microgrid systems
Networked microgrids (NMGs) are developing as a viable approach for integrating an
expanding number of distributed energy resources (DERs) while improving energy system …
expanding number of distributed energy resources (DERs) while improving energy system …
Deep learning for cybersecurity in smart grids: Review and perspectives
Protecting cybersecurity is a non‐negotiable task for smart grids (SG) and has garnered
significant attention in recent years. The application of artificial intelligence (AI), particularly …
significant attention in recent years. The application of artificial intelligence (AI), particularly …
[HTML][HTML] Identifying malicious nodes in wireless sensor networks based on correlation detection
The wireless sensor network (WSN) is a multi-hop wireless network that comprises multiple
sensor nodes arranged in a self-organized manner. It is usually deployed in unattended …
sensor nodes arranged in a self-organized manner. It is usually deployed in unattended …
A hierarchical federated learning-based intrusion detection system for 5g smart grids
X Sun, Z Tang, M Du, C Deng, W Lin, J Chen, Q Qi… - Electronics, 2022 - mdpi.com
As the core component of smart grids, advanced metering infrastructure (AMI) provides the
communication and control functions to implement critical services, which makes its security …
communication and control functions to implement critical services, which makes its security …
A novel strategy for locational detection of false data injection attack
D Mukherjee - Sustainable Energy, Grids and Networks, 2022 - Elsevier
State estimation algorithms furnish an effective approach in monitoring and control of critical
infrastructures like smart grid in real-time. Recently, false data injection attack (FDIA) has …
infrastructures like smart grid in real-time. Recently, false data injection attack (FDIA) has …
The rising role of artificial intelligence in renewable energy development in China
Exploring the role of artificial intelligence (AI) in renewable energy (RE) development is
pivotal for seizing technological opportunities and achieving climate objectives. This study …
pivotal for seizing technological opportunities and achieving climate objectives. This study …