Optimal scheduling of demand side load management of smart grid considering energy efficiency
The purpose of this research is to provide power grid energy efficiency solutions. In this
paper, a comprehensive review and its optimal solution is proposed considering the various …
paper, a comprehensive review and its optimal solution is proposed considering the various …
Machine learning-based intrusion detection for smart grid computing: A survey
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …
significantly applied and advanced the state-of-the-art system security and defense …
An intrusion detection system for wireless sensor networks using deep neural network
V Gowdhaman, R Dhanapal - Soft Computing, 2022 - Springer
Wireless sensor network comprises of a large number of sensor nodes to acquire and
transmit data to the central location. However, due to resource constrained nodes …
transmit data to the central location. However, due to resource constrained nodes …
A novel metaheuristics with deep learning enabled intrusion detection system for secured smart environment
With the deep integration of Internet and ubiquitous computing, smart environment becomes
familiar in several real time applications such as smart city, smart building, healthcare …
familiar in several real time applications such as smart city, smart building, healthcare …
Intrusion detection model for IoT using recurrent kernel convolutional neural network
CU Om Kumar, S Marappan, B Murugeshan… - Wireless Personal …, 2023 - Springer
In communication and information technology, the Internet of Things (IoT) creates an
enormous amount of data traffic that permits data analysis to expose and detect unusual …
enormous amount of data traffic that permits data analysis to expose and detect unusual …
Design of advanced intrusion detection systems based on hybrid machine learning techniques in hierarchically wireless sensor networks
Wireless sensor networks (WSNs) are an emerging military and civilian technology that uses
sensors. Sensor networks are hierarchical and chaotic in remote, unmonitored sites …
sensors. Sensor networks are hierarchical and chaotic in remote, unmonitored sites …
Detection of faults in electrical power grids using an enhanced anomaly-based method
The increasing demand on electrical power consumption all over the world makes the need
of stable and reliable electrical power grids is indispensable. However, one of hostile …
of stable and reliable electrical power grids is indispensable. However, one of hostile …
Network intrusion detection using sparse autoencoder with swish-PReLU activation model
In computer networks, the massive amount of data increases the challenges for intrusion
detection systems, because of its high dimensionality. To overcome this problem, a four …
detection systems, because of its high dimensionality. To overcome this problem, a four …
A Survey on Machine Learning Techniques in Smart Grids Based on Wireless Sensor Networks
Smart grids (SGs) are crucial to the efficiency and sustainability of modern energy systems.
As the world's population continues to increase, so does the need for energy, and traditional …
As the world's population continues to increase, so does the need for energy, and traditional …
Energy-aware ACO-DNN optimization model for intrusion detection of unmanned aerial vehicle (UAVs)
In modern militaries the Unmanned Aerial Vehicles (UAVs) are used for war fighting and
also for certain civilian applications such as law enforcement, content for news outlets …
also for certain civilian applications such as law enforcement, content for news outlets …