Swift population growth and rising demand for energy in the 21st century have resulted in
considerable efforts to make the electrical grid more intelligent and responsive to …

The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …

The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …

Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …

The concept of smart grid (SG) was made real to give the power grid the functions and
features it needs to make a smooth transition towards renewable energy integration and …

There is a paradigm shift from traditional power distribution systems to smart grids (SGs) due
to advances in information and communication technology. An advanced metering …

Deep learning (DL) greatly enhances binary anomaly detection capabilities through effective
statistical network characterization; nevertheless, the intrusion class differentiation …

Among the key components of a smart grid, advanced metering infrastructure (AMI) has
become the preferred target for network intrusion due to its bidirectional communication and …

The intrusions are increasing daily, so there is a huge amount of privacy violations, financial
loss, illegal transferring of information, etc. Various forms of intrusion occur in networks, such …

The smart grid (SG) consists of three main components, that is, Information Technology (IT),
Operational Technology (OT), and Advanced Metring Infrastructure (AMI). Due to the …