JOSÉ ANTONIO
AVELEIRA MATA
PROFESOR AYUDANTE DOCTOR
Universidade da Coruña
La Coruña, EspañaUniversidade da Coruña-ko ikertzaileekin lankidetzan egindako argitalpenak (15)
2024
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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
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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
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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
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Herramienta de disección de tramas para protocolos IoT
Jornadas de Automática, Núm. 45
2023
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Categorization of CoAP DoS Attack Based on One-Class Boundary Methods
Lecture Notes in Networks and Systems
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Denial of Service Attack Detection Based on Feature Extraction and Supervised Techniques
Lecture Notes in Networks and Systems
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Development of an Intelligent Classifier Model for Denial of Service Attack Detection
IJIMAI, Vol. 8, Núm. 3, pp. 33-42
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Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization
Lecture Notes in Networks and Systems
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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
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Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study
Electronics (Switzerland), Vol. 11, Núm. 3
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Intrusion Detection System for MQTT Protocol Based on Intelligent One-Class Classifiers
Lecture Notes in Networks and Systems
2021
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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
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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)
2020
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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
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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)