Angel Luis
Perales Gomez
Asociado a Tiempo Parcial
![Foto de Angel Luis](/img/uploaded/910FDBA413E75809C7B6077A96BA3C2F.jpg)
![Foto de University of Zurich](/img/noimage_org.png)
University of Zurich
Zúrich, SuizaPublicaciones en colaboración con investigadores/as de University of Zurich (8)
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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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
2021
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Crafting adversarial samples for anomaly detectors in industrial control systems
Procedia Computer Science