Analyzing complexities of integrating Renewable Energy Sources into Smart Grid: A comprehensive review
In modern cities and nations, Smart Grids (SGs) must include Renewable Energy Sources
(RESs) to enhance energy efficiency and promote sustainability. Battery-included RESs play …
(RESs) to enhance energy efficiency and promote sustainability. Battery-included RESs play …
Unified Random Forest and Hybrid Bat Optimization based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
Smart grid (SG) engages bidirectional energy and data flow with advanced metering
infrastructure (AMI) and lures attackers to exploit vulnerabilities in the critical infrastructure …
infrastructure (AMI) and lures attackers to exploit vulnerabilities in the critical infrastructure …
Rule-based with Machine learning IDS for DDoS attack detection in cyber-physical production systems (CPPS)
Recent advancements in communication technology have transformed the way the industrial
system works. This digitalization has improved the way of communication between different …
system works. This digitalization has improved the way of communication between different …
Mitigate the Man-in-the-Middle attack by the use of Machine Learning Techniques: A Review
The wide use of Internet brought many challenges were security has become a need to
protect information and resources against attacks such as Man-in-the-Middle (MITM). This …
protect information and resources against attacks such as Man-in-the-Middle (MITM). This …
Modeling and detection of false data injection attacks in cyber-physical distribution system with load aggregator interaction
X Liu, S Sun, Y Wang, Z Duan, X Li, Q Sun - Sustainable Energy, Grids and …, 2024 - Elsevier
With the increasing number of users and multi-type loads accessing the cyber–physical
distribution system (CPDS), the bidirectional interaction between the system becomes more …
distribution system (CPDS), the bidirectional interaction between the system becomes more …
Generative AI in Network Security and Intrusion Detection
SR Sindiramutty, KRV Prabagaran… - … With Generative AI …, 2025 - igi-global.com
Protecting virtual assets from cyber threats is essential as we live in a digitally advanced
world. Providing a responsible emphasis on proper network security and intrusion detection …
world. Providing a responsible emphasis on proper network security and intrusion detection …
Harnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks
V Kandasamy, AA Roseline - Scientific Reports, 2025 - nature.com
The growing number of connected devices in smart home environments has amplified
security risks, particularly from Man-in-the-Middle (MitM) attacks. These attacks allow …
security risks, particularly from Man-in-the-Middle (MitM) attacks. These attacks allow …
A Review and Analysis of Attack and Countermeasure Approaches for Enhancing Smart Grid Cybersecurity
The Smart Grid (SG) is an advanced power network that facilitates the two-way exchange of
energy and information between consumers and providers. The field of cyber-physical smart …
energy and information between consumers and providers. The field of cyber-physical smart …
Enhanced Abnormality Detection Mechanism based on PSO Assisted Adaptive Ensemble's Weights Optimization for Protection of Energy AIoT Devices
The present era is characterized by the interconnection, communication, connectivity, and
data exchange of Internet of Things (IoT) devices. However, current systems often neglect to …
data exchange of Internet of Things (IoT) devices. However, current systems often neglect to …
Enhancing Security: Federated Learning against Man-In-The-Middle Threats with Gradient Boosting Machines and LSTM
Federated Learning (FL) can be preferred more in the cyber security community because it
can enable training without sharing the actual training data when combined with different …
can enable training without sharing the actual training data when combined with different …