Publicaciones en las que colabora con José Aveleira Mata (14)

2024

  1. A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport

    Expert Systems, Vol. 41, Núm. 2

  2. Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices

    Logic Journal of the IGPL, Vol. 32, Núm. 2, pp. 352-365

  3. Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach

    Logic Journal of the IGPL, Vol. 32, Núm. 4, pp. 712-728

2023

  1. Categorization of CoAP DoS Attack Based on One-Class Boundary Methods

    Lecture Notes in Networks and Systems

  2. Denial of Service Attack Detection Based on Feature Extraction and Supervised Techniques

    Lecture Notes in Networks and Systems

  3. Development of an Intelligent Classifier Model for Denial of Service Attack Detection

    IJIMAI, Vol. 8, Núm. 3, pp. 33-42

  4. Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization

    Lecture Notes in Networks and Systems

  5. One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study

    Electronics (Switzerland), Vol. 11, Núm. 3

  2. Intrusion Detection System for MQTT Protocol Based on Intelligent One-Class Classifiers

    Lecture Notes in Networks and Systems

2021

  1. Hybrid Model to Calculate the State of Charge of a Battery

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Hybrid Model to Calculate the State of Charge of a Battery

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

2020

  1. Autoencoder Latent Space Influence on IoT MQTT Attack Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Autoencoder Latent Space Influence on IoT MQTT Attack Classification

    Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference: Guimarães, Portugal; November 4–6, 2020. Proceedings