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The AEI Ciberseguridad y Tecnologías Avanzadas, together with the rest of the consortium: FACYL, CIDAUT, FUNDITEC and INDUSTRIAS MAXI, are still involved in the Detecta project. This initiative aims to define techniques that allow the characterization of industrial production processes and the predictive detection of anomalies in them in a non-intrusive way.

The overall objective of this project is to generate predictive knowledge through new non-intrusive methodologies for the characterization of manufacturing processes in the manufacturing sector, based on the concept of Digital Twin and machine learning, which allow the detection of anomalies in order to improve the availability and protection against cyber threats of the associated industrial systems at the same time.

In terms of specific objectives, Detecta is looking for techniques for process characterization and anomaly detection, indicators associated with system availability and the measures needed to protect against risks and threats, modeling of learning environments in “black-box” systems, detailed analysis of the challenges posed by convergent OT/IT environments and general evaluation of connected environments in SMEs.

This project is supported by the Ministry of Industry, Tourism and Trade.