Edge-Centric Digital Twin Framework for Cyberattack Simulation and Response Modeling in Smart Grids
The increasing integration of digital and communication technologies in power systems has made smart grids a crucial part of modern infrastructure. However, this interconnectedness has also exposed t...
Enhancing Smart Grid Security: A Deep Learning Approach to Adversarial Intrusion Detection
Smart grids are modern energy infrastructures that integrate digital communication and automation to enhance efficiency and reliability. However, their increased reliance on digital technologies exposes them ...
AI-Enhanced Network Monitoring Framework for Real-Time Analysis of Simulated Modbus TCP Traffic
This thesis presents a real-time anomaly detection framework for Modbus/TCP networks that integrates machine learning techniques with live traffic monitoring via port mirroring. The proposed system facil...
