7 papers
Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control
Mohammadhossein Homaei, Iman Khazrak, Rubén Molano +2
Industrial Cyber-Physical Systems (ICPS) face growing threats from cyber-attacks that exploit sensor and control vulnerabilities. Digital Twin (DT) technology can detect anomalies…
Graph Attention Networks with Physical Constraints for Anomaly Detection
Mohammadhossein Homaei, Iman Khazrak, Ruben Molano +2
Water distribution systems (WDSs) face increasing cyber-physical risks, which make reliable anomaly detection essential. Many data-driven models ignore network topology and are har…
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…
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…
The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting
Mohammadhossein Homaei, Victor Gonzalez Morales, Oscar Mogollon-Gutierrez +1
Digital twins (DTs) are improving water distribution systems by using real-time data, analytics, and prediction models to optimize operations. This paper presents a DT platform des…
Smart Water Security with AI and Blockchain-Enhanced Digital Twins
Mohammadhossein Homaei, Victor Gonzalez Morales, Oscar Mogollon Gutierrez +2
Water distribution systems in rural areas face serious challenges such as a lack of real-time monitoring, vulnerability to cyberattacks, and unreliable data handling. This paper pr…