Causal Digital Twins for Cyber-Physical Security: A Framework for Robust Anomaly Detection in Industrial Control Systems
Fuente:
arXiv
Guardado en:
| Autores principales: | Homaei, Mohammadhossein, Tarif, Mehran, Rodriguez, Pablo Garcia, Caro, Andres, Avila, Mar |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control
por: Homaei, Mohammadhossein, et al.
Publicado: (2026)
por: Homaei, Mohammadhossein, et al.
Publicado: (2026)
Semi-Supervised Supply Chain Fraud Detection with Unsupervised Pre-Filtering
por: Moradi, Fatemeh, et al.
Publicado: (2025)
por: Moradi, Fatemeh, et al.
Publicado: (2025)
Information-Theoretic Digital Twins for Stealthy Attack Detection in Industrial Control Systems: A Closed-Form KL Divergence Approach
por: Kreso, Inda, et al.
Publicado: (2026)
por: Kreso, Inda, et al.
Publicado: (2026)
Graph Attention Networks with Physical Constraints for Anomaly Detection
por: Homaei, Mohammadhossein, et al.
Publicado: (2026)
por: Homaei, Mohammadhossein, et al.
Publicado: (2026)
Conformal Prediction-Driven Adaptive Sampling for Digital Water Twins
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
Smart Water Security with AI and Blockchain-Enhanced Digital Twins
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
A Review of Digital Twins and their Application in Cybersecurity based on Artificial Intelligence
por: Homaei, MohammadHossein, et al.
Publicado: (2023)
por: Homaei, MohammadHossein, et al.
Publicado: (2023)
Systematic Integration of Digital Twins and Constrained LLMs for Interpretable Cyber-Physical Anomaly Detection
por: Kampourakis, Konstantinos E., et al.
Publicado: (2026)
por: Kampourakis, Konstantinos E., et al.
Publicado: (2026)
Digital Sovereignty Control Framework for Military AI-based Cyber Security
por: Maathuis, Clara, et al.
Publicado: (2025)
por: Maathuis, Clara, et al.
Publicado: (2025)
Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2025)
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2025)
HySecTwin: A Knowledge-Driven Digital Twin Framework Augmented with Hybrid Reasoning for Cyber-Physical Systems
por: Holmes, David, et al.
Publicado: (2026)
por: Holmes, David, et al.
Publicado: (2026)
Cyber-Twin: Digital Twin-boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks
por: Yigit, Yagmur, et al.
Publicado: (2024)
por: Yigit, Yagmur, et al.
Publicado: (2024)
Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques
por: Abshari, Danial, et al.
Publicado: (2025)
por: Abshari, Danial, et al.
Publicado: (2025)
Enabling Deep Visibility into VxWorks-Based Embedded Controllers in Cyber-Physical Systems for Anomaly Detection
por: Krishnamurthy, Prashanth, et al.
Publicado: (2025)
por: Krishnamurthy, Prashanth, et al.
Publicado: (2025)
Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
por: Haug, Markus, et al.
Publicado: (2025)
por: Haug, Markus, et al.
Publicado: (2025)
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice
por: Zhou, Tian-Yi, et al.
Publicado: (2024)
por: Zhou, Tian-Yi, et al.
Publicado: (2024)
Enhanced Anomaly Detection in Industrial Control Systems aided by Machine Learning
por: Berge, Vegard, et al.
Publicado: (2024)
por: Berge, Vegard, et al.
Publicado: (2024)
CyFence: Securing Cyber-Physical Controllers via Trusted Execution Environment
por: Longari, Stefano, et al.
Publicado: (2025)
por: Longari, Stefano, et al.
Publicado: (2025)
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming
por: Praharaj, Lopamudra, et al.
Publicado: (2024)
por: Praharaj, Lopamudra, et al.
Publicado: (2024)
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
por: Moriano, Pablo, et al.
Publicado: (2024)
por: Moriano, Pablo, et al.
Publicado: (2024)
Cyber Risk Taxonomies: Statistical Analysis of Cybersecurity Risk Classifications
por: Malavasi, Matteo, et al.
Publicado: (2024)
por: Malavasi, Matteo, et al.
Publicado: (2024)
Anomaly Detection in Industrial Control Systems Based on Cross-Domain Representation Learning
por: Zhan, Dongyang, et al.
Publicado: (2025)
por: Zhan, Dongyang, et al.
Publicado: (2025)
An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management
por: Gupta, Kishu, et al.
Publicado: (2024)
por: Gupta, Kishu, et al.
Publicado: (2024)
INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection
por: Abshari, Danial, et al.
Publicado: (2024)
por: Abshari, Danial, et al.
Publicado: (2024)
Sequential Change Detection for Multiple Data Streams with Differential Privacy
por: Zhang, Lixing, et al.
Publicado: (2026)
por: Zhang, Lixing, et al.
Publicado: (2026)
Secure Group Key Agreement on Cyber-Physical System Buses
por: Peters, Sebastian N., et al.
Publicado: (2026)
por: Peters, Sebastian N., et al.
Publicado: (2026)
On the Cyber-Physical Security of Commercial Indoor Delivery Robot Systems
por: Alshammari, Fayzah, et al.
Publicado: (2024)
por: Alshammari, Fayzah, et al.
Publicado: (2024)
Smart Grid Security: A Verified Deep Reinforcement Learning Framework to Counter Cyber-Physical Attacks
por: Maiti, Suman, et al.
Publicado: (2024)
por: Maiti, Suman, et al.
Publicado: (2024)
Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines
por: Cultice, Tyler, et al.
Publicado: (2024)
por: Cultice, Tyler, et al.
Publicado: (2024)
Towards Secure AI-driven Industrial Metaverse with NFT Digital Twins
por: Prakash, Ravi, et al.
Publicado: (2024)
por: Prakash, Ravi, et al.
Publicado: (2024)
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
por: Mustafa, Abdul, et al.
Publicado: (2025)
por: Mustafa, Abdul, et al.
Publicado: (2025)
Quantifying Jitter Transfer for Differential Measurement: Enhancing Security of Oscillator-Based TRNGs
por: Lubicz, David, et al.
Publicado: (2024)
por: Lubicz, David, et al.
Publicado: (2024)
A Framework for Mapping Organisational Workforce Knowledge Profile in Cyber Security
por: Nautiyal, Lata, et al.
Publicado: (2024)
por: Nautiyal, Lata, et al.
Publicado: (2024)
SCyTAG: Scalable Cyber-Twin for Threat-Assessment Based on Attack Graphs
por: Tayouri, David, et al.
Publicado: (2025)
por: Tayouri, David, et al.
Publicado: (2025)
An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems
por: Koley, Ipsita, et al.
Publicado: (2021)
por: Koley, Ipsita, et al.
Publicado: (2021)
Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing -- A Defense-in-Depth Driven Framework and Taxonomy
por: Rahman, Md Habibor, et al.
Publicado: (2024)
por: Rahman, Md Habibor, et al.
Publicado: (2024)
Security Modelling for Cyber-Physical Systems: A Systematic Literature Review
por: Huang, Shaofei, et al.
Publicado: (2024)
por: Huang, Shaofei, et al.
Publicado: (2024)
Cyber-Physical Authentication Scheme for Secure V2G Transactions
por: Chen, Yunwang, et al.
Publicado: (2024)
por: Chen, Yunwang, et al.
Publicado: (2024)
Ejemplares similares
-
Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control
por: Homaei, Mohammadhossein, et al.
Publicado: (2026) -
Semi-Supervised Supply Chain Fraud Detection with Unsupervised Pre-Filtering
por: Moradi, Fatemeh, et al.
Publicado: (2025) -
Information-Theoretic Digital Twins for Stealthy Attack Detection in Industrial Control Systems: A Closed-Form KL Divergence Approach
por: Kreso, Inda, et al.
Publicado: (2026) -
Graph Attention Networks with Physical Constraints for Anomaly Detection
por: Homaei, Mohammadhossein, et al.
Publicado: (2026) -
Conformal Prediction-Driven Adaptive Sampling for Digital Water Twins
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)