2026-06-30T01:15:42Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/114982026-04-10T11:21:25Zcom_10259_2604col_10259_5684

Villar Val, Álvaro Martínez Fuentes, Virginia Granados López, Diego Arroyo Puente, Ángel Herrero Cosío, Álvaro 2026-04-09T10:50:52Z 2026-04-09T10:50:52Z 2026-03-22 https://hdl.handle.net/10259/11498 10.71486/tn6x-p568 https://ss3.scayle.es:443/riubu-1/GICAP/Villar-Images_dataset_NF-UNSW-NB15-v3_1d_to_2d_2026.zip This dataset represents a higher-dimensional extension of the NF-UNSW-NB15 v3 dataset [Luay et al., 2025; Luay et al., 2025], in which the correlations among variables are explicitly considered and used to organize them spatially as pixels. This publication is part of the AI4SECIoT project (‘Artificial Intelligence for Securing IoT Devices’), funded by the National Cybersecurity Institute (INCIBE), derived from a collaboration agreement signed between the National Institute of Cybersecurity (INCIBE) and the University of Burgos. This initiative is carried out within the framework of the Recovery, Transformation and Resilience Plan funds, financed by the European Union (Next Generation), the project of the Government of Spain that outlines the roadmap for the modernization of the Spanish economy, the recovery of economic growth and job creation, for solid, inclusive and resilient economic reconstruction after the COVID19 crisis, and to respond to the challenges of the next decade. text/plain image/png application/zip eng Universidad de Burgos Atribución-NoComercial 4.0 Internacional http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess Cybersecurity IoT Dataset Exploratory data analysis Data preprocessing Downsampling Machine learning Proceso de datos Redes informáticas Electronic data processing Computer networks Images_dataset_NF-UNSW-NB15-v3_1d_to_2d dataset info:eu-repo/semantics/acceptedVersion 2026