• A distributed topology for identifying anomalies in an industrial environment 

      Zayas-Gato, Francisco; Michelena, Álvaro; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Novais, Paulo; Méndez Pérez, Juan Albino; Calvo-Rolle, José Luis (Springer, 2022)
      [Abstract] The devastating consequences of climate change have resulted in the promotion of clean energies, being the wind energy the one with greater potential. This technology has been developed in recent years following ...
    • A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters 

      Michelena, Álvaro; López, Víctor; Lamas-López, Francisco; Arce Fariña, Elena; Mendoza García, José; Suárez-García, Andrés; García Espinosa, Guillermo; Calvo-Rolle, José Luis; Quintián, Héctor (MDPI, 2023-03-23)
      [Abstract] Systems engineering plays a key role in the naval sector, focusing on how to design, integrate, and manage complex systems throughout their life cycle; it is therefore difficult to conceive functional warships ...
    • A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport 

      Michelena, Álvaro; Aveleira Mata, Jose Antonio; Jove, Esteban; Bayón Gutiérrez, Martín; Novais, Paulo; Fontenla-Romero, Óscar; Calvo-Rolle, José Luis; Alaiz Moretón, Héctor (Wiley, 2024)
      [Abstract]: One of the most common attacks is man-in-the-middle (MitM) which, due to its complex behaviour, is difficult to detect by traditional cyber-attack detection systems. MitM attacks on internet of things systems ...
    • A novel method for anomaly detection using beta Hebbian learning and principal component analysis 

      Zayas-Gato, Francisco; Michelena, Álvaro; Quintián, Héctor; Jove, Esteban; Casteleiro-Roca, José-Luis; Leitão, Paulo; Calvo-Rolle, José Luis (Oxford University Press, 2023-04)
      [Abstract] In this research work a novel two-step system for anomaly detection is presented and tested over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta Hebbian Learning algorithm, ...
    • A One-Class-Based Supervision System to Detect Unexpected Events in Wastewater Treatment Plants 

      Arcano-Bea, Paula; Timiraos, Míriam; Díaz-Longueira, Antonio; Michelena, Álvaro; Jove, Esteban; Calvo-Rolle, José Luis (MDPI, 2024)
      [Abstract] The increasing importance of water quality has led to optimizing the operation of Wastewater Treatment Plants. This implies the monitoring of many parameters that measure aspects such as solid suspension, ...
    • Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices 

      Michelena, Álvaro; García-Ordás, María Teresa; Aveleira Mata, Jose Antonio; Marcos del Blanco, David Yeregui; Timiraos, Míriam; Zayas-Gato, Francisco; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Alaiz Moretón, Héctor; Calvo-Rolle, José Luis (Oxford University Press, 2024-04)
      [Abstract] This paper aims to enhance security in IoT device networks through a visual tool that utilizes three projection techniques, including Beta Hebbian Learning (BHL), t-distributed Stochastic Neighbor Embedding ...
    • Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiers 

      Michelena, Álvaro; Zayas-Gato, Francisco; Jove, Esteban; Calvo-Rolle, José Luis (MDPI, 2021)
      [Abstract] The present work deals with the problem of detecting Denial of Service attacks in an IoT environment. To achieve this goal, a dataset registered in an MQTT protocol network is used, applying dimension reduction ...
    • Development of an Intelligent Classifier Model for Denial of Service Attack Detection 

      Michelena, Álvaro; Aveleira Mata, Jose Antonio; Jove, Esteban; Alaiz Moretón, Héctor; Quintián, Héctor; Calvo-Rolle, José Luis (UNIR, 2023)
      [Abstract] The prevalence of Internet of Things (IoT) systems deployment is increasing across various domains, from residential to industrial settings. These systems are typically characterized by their modest computationa ...
    • Experiencia blended learning apoyada en un laboratorio virtual para educación de materias STEM 

      Arce Fariña, Elena; Zayas-Gato, Francisco; Suárez-García, Andrés; Michelena, Álvaro; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Calvo-Rolle, José Luis (Sociedad Española de Pedagogía, 2022-12)
      [Resumen] INTRODUCCIÓN. La reciente pandemia provocada por la COVID-19 ha supuesto numerosos cambios en los protocolos de salud pública, así como un profundo impacto socioeconómico. Políticas como el distanciamiento social ...
    • Gasificación de biomasa 

      Casteleiro-Roca, José-Luis; Zayas-Gato, Francisco; Díaz-Longueira, Antonio; Timiraos, Míriam; Arcano-Bea, Paula; Quintián, Héctor; Jove, Esteban; Michelena, Álvaro; Calvo-Rolle, José Luis (Universidad de Guayaquil, 2023-12-23)
      [Resumen]: La gasificación de biomasa es un proceso termoquímico que convierte materia orgánica en un gas de síntesis, útil en calderas o motores. Este gas contiene monóxido de carbono, hidrógeno, dióxido de carbono, metano, ...
    • Gestión de la energía en sistemas renovables híbridos 

      Jove, Esteban; Díaz-Longueira, Antonio; Arcano-Bea, Paula; Timiraos, Míriam; Michelena, Álvaro; Zayas-Gato, Francisco; Quintián, Héctor; Casteleiro-Roca, José-Luis; Calvo-Rolle, José Luis (Universidad de Guayaquil, 2023-12-23)
      [Abstract]: Este documento se centra en el análisis de soluciones ante la necesidad de diseñar el sistema de alimentación de una instalación modular y móvil encargada de monitorizar la calidad del agua de un río. Esta ...
    • Metodología de reducción del tiempo de ajuste de controladores PID autoajustables basado en hiperesferas 

      Michelena, Álvaro; Zayas-Gato, Francisco; Jove, Esteban; Quintián, Héctor; Casteleiro-Roca, José-Luis; Calvo-Rolle, José Luis (Universidad de León, 2022-06)
      [Resumen] Hoy en día, los controladores adaptativos son ampliamente utilizados en el control de una gran variedad de procesos industriales. En ese tipo de controladores destacan los reguladores PIDs autoajustables, por ...
    • Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems 

      Michelena, Álvaro; Zayas-Gato, Francisco; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Fontenla-Romero, Óscar; Calvo-Rolle, José Luis (Oxford University Press, 2024)
      [Abstract] The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal integrates a centroid-based approach with the real-time ...