![Foto de Angel Luis](/img/uploaded/910FDBA413E75809C7B6077A96BA3C2F.jpg)
Angel Luis
Perales Gomez
Asociado a Tiempo Parcial
Publicaciones (20) Publicaciones de Angel Luis Perales Gomez
2024
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Corrigendum to “Fedstellar: A platform for decentralized federated learning” [Expert Syst. Appl. 242 (2024) 122861] (S0957417423033638), (10.1016/j.eswa.2023.122861)
Expert Systems with Applications
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Fedstellar: A Platform for Decentralized Federated Learning
Expert Systems with Applications, Vol. 242
2023
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An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios
IET Information Security, Vol. 17, Núm. 4, pp. 553-566
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Behavioral fingerprinting to detect ransomware in resource-constrained devices
Computers and Security, Vol. 135
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Location Monitoring System to Prevent Falls of Cathodes in Industrial Electrolysis Facilities
2023 IEEE Industry Applications Society Annual Meeting, IAS 2023
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SUSAN: A Deep Learning based anomaly detection framework for sustainable industry
Sustainable Computing: Informatics and Systems, Vol. 37
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VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios
Journal of Information Security and Applications, Vol. 79
2022
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A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios
IEEE Access, Vol. 10, pp. 124582-124594
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FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming
Cluster Computing, Vol. 25, Núm. 3, pp. 2163-2178
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Malware Detection in Industrial Scenarios Using Machine Learning and Deep Learning Techniques
Advances in Malware and Data-Driven Network Security, pp. 74-93
2021
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A Review of MADICS: A Methodology for Anomaly Detection in Industrial Control Systems
Investigación en Ciberseguridad
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Crafting adversarial samples for anomaly detectors in industrial control systems
Procedia Computer Science
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SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry
Software - Practice and Experience
2020
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BEHACOM - a dataset modelling users’ behaviour in computers
Data in Brief
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MADICS: A methodology for anomaly detection in industrial control systems
Symmetry, Vol. 12, Núm. 10
2019
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A Deep Learning-based System for Network Cyber Threat Detection
Machine Learning for Computer and Cyber Security, pp. 1-25
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Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments
Sensors (Basel, Switzerland), Vol. 19, Núm. 5
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Intelligent and dynamic ransomware spread detection and mitigation in integrated clinical environments
Sensors (Switzerland), Vol. 19, Núm. 5
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On the Generation of Anomaly Detection Datasets in Industrial Control Systems
IEEE Access, Vol. 7, pp. 177460-177473
2018
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A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks
IEEE Access, Vol. 6, pp. 7700-7712