RT info:eu-repo/semantics/doctoralThesis
T1 A Framework for Dataset Generation, Anomaly Detection and Cybersecurity in  Industrial Cyber-Physical Systems
A1 Martín Fraile, Juan Vicente
A2 Universidad de Burgos. Departamento de Ingeniería Electromecánica
K1 Industrial Cyber-Physical Systems (CPS)
K1 Dataset Generation
K1 Ground Truth
K1 Anomaly Detection
K1 Industrial Cybersecurity
K1 Seguridad informática
K1 Computer security
K1 3311.01 Tecnología de la Automatización
AB Industrial Cyber-Physical Systems (CPS), characterized by high connectivity and computational intelligence capabilities, constitute a fundamental component of Industry 4.0 by integrating physical processes and digital systems. Although this integration provides significant benefits, it also increases operational complexity and cybersecurity risks.This doctoral thesis develops and validates a unified framework for the generation of datasets in industrial CPS aimed at anomaly detection and industrial cybersecurity. To this end, a methodology is proposed that combines a hybrid and flexible experimental testbed based on real industrial technologies and digital twins, controlled fault and cyberattack injection, and the generation of hybrid ground truth through experimental planning.
YR 2026
FD 2026-10-16
LK https://hdl.handle.net/10259/12298
UL https://hdl.handle.net/10259/12298
LA eng
DS Repositorio Institucional de la Universidad de Burgos
RD 24-oct-2026