<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-07T13:53:11Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/11498" metadataPrefix="oai_dc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/11498</identifier><datestamp>2026-04-10T11:21:25Z</datestamp><setSpec>com_10259_2604</setSpec><setSpec>col_10259_5684</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>Images_dataset_NF-UNSW-NB15-v3_1d_to_2d</dc:title>
<dc:creator>Villar Val, Álvaro</dc:creator>
<dc:creator>Martínez Fuentes, Virginia</dc:creator>
<dc:creator>Granados López, Diego</dc:creator>
<dc:creator>Arroyo Puente, Ángel</dc:creator>
<dc:creator>Herrero Cosío, Álvaro</dc:creator>
<dc:subject>Cybersecurity</dc:subject>
<dc:subject>IoT</dc:subject>
<dc:subject>Dataset</dc:subject>
<dc:subject>Exploratory data analysis</dc:subject>
<dc:subject>Data preprocessing</dc:subject>
<dc:subject>Downsampling</dc:subject>
<dc:subject>Machine learning</dc:subject>
<dc:subject>Proceso de datos</dc:subject>
<dc:subject>Redes informáticas</dc:subject>
<dc:subject>Electronic data processing</dc:subject>
<dc:subject>Computer networks</dc:subject>
<dc:description>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.</dc:description>
<dc:description>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.</dc:description>
<dc:date>2026-04-09T10:50:52Z</dc:date>
<dc:date>2026-04-09T10:50:52Z</dc:date>
<dc:date>2026-03-22</dc:date>
<dc:type>dataset</dc:type>
<dc:type>info:eu-repo/semantics/acceptedVersion</dc:type>
<dc:identifier>https://hdl.handle.net/10259/11498</dc:identifier>
<dc:identifier>10.71486/tn6x-p568</dc:identifier>
<dc:identifier>https://ss3.scayle.es:443/riubu-1/GICAP/Villar-Images_dataset_NF-UNSW-NB15-v3_1d_to_2d_2026.zip</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights>Atribución-NoComercial 4.0 Internacional</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:format>text/plain</dc:format>
<dc:format>image/png</dc:format>
<dc:format>application/zip</dc:format>
<dc:publisher>Universidad de Burgos</dc:publisher>
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