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

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Showing 2026Show all

5 papers · 1 filter

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…