6 papers
Information-Theoretic Digital Twins for Stealthy Attack Detection in Industrial Control Systems: A Closed-Form KL Divergence Approach
Inda Kreso, Mehran Tarif, Fatemeh Moradi +3
Digital twins (DTs) are increasingly used to monitor and secure Industrial Control Systems (ICS), yet detecting stealthy False Data Injection Attacks (FDIAs) that manipulate system…
Conformal Prediction-Driven Adaptive Sampling for Digital Water Twins
Mohammadhossein Homaei, Mehran Tarif, Pablo Garcia Rodriguez +2
Digital Twins (DTs) for Water Distribution Networks (WDNs) require accurate state estimation with limited sensors. Uniform sampling often wastes resources across nodes with differe…
A Reinforcement Learning-Based Telematic Routing Protocol for the Internet of Underwater Things
Mohammadhossein Homaei, Mehran Tarif, Agustin Di Bartolo +2
The Internet of Underwater Things (IoUT) has a lot of problems, like low bandwidth, high latency, mobility, and not enough energy. Routing protocols that were made for land-based n…
Causal Digital Twins for Cyber-Physical Security: A Framework for Robust Anomaly Detection in Industrial Control Systems
Mohammadhossein Homaei, Mehran Tarif, Pablo Garcia Rodriguez +2
Industrial Control Systems (ICS) in water distribution and treatment face cyber-physical attacks exploiting network and physical vulnerabilities. Current water system anomaly detec…
Semi-Supervised Supply Chain Fraud Detection with Unsupervised Pre-Filtering
Fatemeh Moradi, Mehran Tarif, Mohammadhossein Homaei
Detecting fraud in modern supply chains is a growing challenge, driven by the complexity of global networks and the scarcity of labeled data. Traditional detection methods often st…
Optimizing RPL Routing Using Tabu Search to Improve Link Stability and Energy Consumption in IoT Networks
Mehran Tarif, Mohammadhossein Homaei, Abbas Mirzaei +1
In the Internet of Things (IoT) networks, the Routing Protocol for Low-power and Lossy Networks (RPL) is a widely adopted standard due to its efficiency in managing resource-constr…