activity
20232026
most citedA Review of Digital Twins and their Application in Cybersecurity based on Artificial Intelligence

123 citations · 129 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CR2026

BALLAST: Physics-Aware Moving Target Defense for Industrial Control Systems Using a Digital Twin Safety Oracle

Oscar Mogollon-Gutierrez, Mohammadhossein Homaei, Alberto Lopez-Trigo +2

Industrial Control Systems run on static network configurations, which leaves an attacker unlimited time to map the plant. Moving Target Defense answers this by shuffling addresses…

cs.CR2026

Argos: A Multi-Tenant SaaS Architecture for Distributed Edge Security Orchestration

Agustin Javier Di Bartolo, Mohammadhossein Homaei, Andres Caro +1

The growing adoption of distributed edge devices for security auditing and operational monitoring exposes limitations in lightweight control mechanisms traditionally used to manage…

cs.AI2026

Physics-Constrained Digital Twins for Sensor Integrity in Urban Pedestrian Flow: Detecting Stealthy False Data Injection with Conformal Guarantees

Oscar Mogollon Gutierrez, Fatemeh Ghasemi, Mohammadhossein Homaei +2

City pedestrian counting systems now feed economic indicators, planning decisions and safety operations, yet the twins built on top of them treat the incoming stream as ground trut…

cs.CR2026

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…

cs.LG2026★ 1 cited

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…

cs.CR2025★ 3 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★ 2 cited

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…

cs.CR2023★ 123 cited

A Review of Digital Twins and their Application in Cybersecurity based on Artificial Intelligence

MohammadHossein Homaei, Oscar Mogollon Gutierrez, Jose Carlos Sancho Nunez +2

The potential of digital twin technology is yet to be fully realized due to its diversity and untapped potential. Digital twins enable systems' analysis, design, optimization, and…