most citedCausal Digital Twins for Cyber-Physical Security: A Framework for Robust Anomaly Detection in Industrial Control Systems

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR20253 cited

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…

cs.LG2025

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…

cs.LG2025

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…

cs.CR2025

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…

cs.CY2024

Digital Transformation in the Water Distribution System based on the Digital Twins Concept

MohammadHossein Homaei, Agustín Javier Di Bartolo, Mar Ávila +2

Digital Twins have emerged as a disruptive technology with great potential; they can enhance WDS by offering real-time monitoring, predictive maintenance, and optimization capabili…