Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning.

Á. Gómez, E. Beltrán, P. Sánchez, and A. Celdrán. CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Angel Antón Gómez

Manuel Angel Gómez Cruz

Ana Gómez-Carrillo Castro

Pedro Gómez

Gerardo Gómez Gonzáles

Other publications of authors with the same name

On the Generation of Anomaly Detection Datasets in Industrial Control Systems.Á. Gómez, L. Maimó, A. Celdrán, F. Clemente, C. Sarmiento, C. Masa, and R. Nistal. IEEE Access, (2019)Fedstellar: A Platform for Decentralized Federated Learning.E. Beltrán, Á. Gómez, C. Feng, P. Sánchez, S. Bernal, G. Bovet, M. Pérez, G. Pérez, and A. Celdrán. CoRR, (2023)A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks.L. Maimó, Á. Gómez, F. Clemente, M. Pérez, and G. Pérez. IEEE Access, (2018)BEHACOM.P. Sánchez, J. Valero, M. Zago, A. Celdrán, L. Maimó, E. Bernal, S. Bernal, J. Valverde, P. Nespoli, J. Pastor-Galindo and 3 other author(s). (April 2020)A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios.Á. Gómez, L. Maimó, F. Clemente, J. Morales, A. Celdrán, and G. Bovet. IEEE Access, (2022)SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry.Á. Gómez, L. Maimó, A. Celdrán, F. Clemente, M. Pérez, and G. Pérez. Softw. Pract. Exp., 51 (3): 607-627 (2021)SUSAN: A Deep Learning based anomaly detection framework for sustainable industry.Á. Gómez, L. Maimó, A. Celdrán, and F. Clemente. Sustain. Comput. Informatics Syst., (January 2023)FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming.Á. Gómez, P. de Teruel, A. Ruiz, G. García-Mateos, G. García, and F. Clemente. Clust. Comput., 25 (3): 2163-2178 (2022)Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments.L. Maimó, A. Celdrán, Á. Gómez, F. Clemente, J. Weimer, and I. Lee. Sensors, 19 (5): 1114 (2019)MADICS: A Methodology for Anomaly Detection in Industrial Control Systems.Á. Gómez, L. Maimó, A. Celdrán, and F. Clemente. Symmetry, 12 (10): 1583 (2020)

BibSonomy

Disambiguation of "Gómez, Ángel Luis Perales"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning.

Please choose a person to relate this publication to

Angel Antón Gómez

Manuel Angel Gómez Cruz

Ana Gómez-Carrillo Castro

Pedro Gómez

Gerardo Gómez Gonzáles

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gómez, Ángel Luis Perales"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning.

Please choose a person to relate this publication to

Angel Antón Gómez

Manuel Angel Gómez Cruz

Ana Gómez-Carrillo Castro

Pedro Gómez

Gerardo Gómez Gonzáles

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning.