<?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>2026-06-07T02:41:25Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/11037" metadataPrefix="qdc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/11037</identifier><datestamp>2025-11-07T12:30:49Z</datestamp><setSpec>com_10259_2604</setSpec><setSpec>col_10259_5684</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
<dc:title>Raw Network Traffic Captures for IoT Cyberattack Detection in Fog Computing Environments [Dataset] ﻿</dc:title>
<dc:creator>Martínez González, Branly Alberto</dc:creator>
<dc:creator>Díez Bermejo, Alejandro</dc:creator>
<dc:creator>Pérez Sevilla, Malena</dc:creator>
<dc:creator>Rincón Arango, Jaime Andrés</dc:creator>
<dc:creator>Urda Muñoz, Daniel</dc:creator>
<dc:subject>IoT</dc:subject>
<dc:subject>Cybersecurity</dc:subject>
<dc:subject>PCAP</dc:subject>
<dc:subject>Network Traffic</dc:subject>
<dc:subject>Fog Computing</dc:subject>
<dc:subject>Denial-of-Service (DoS)</dc:subject>
<dcterms:abstract>These files consist of raw network packet captures (PCAP format) obtained from controlled laboratory experiments that emulate benign and malicious Internet of Things (IoT) traffic in fog computing environments. The experiments involved resource-constrained edge devices, specifically a Raspberry Pi 4 and a Jetson Nano. Malicious traffic corresponds to Denial-of-Service (DoS) attacks executed from the Jetson Nano against the Raspberry Pi 4 within an isolated local network, while benign traffic reflects typical IoT device behavior, including alert generation, DNS requests, and telemetry or device-management communications (e.g., MQTT updates).  &#xd;
All captures were performed under reproducible laboratory conditions and are intended to support research on intrusion detection, IoT network behavior analysis, and the development and training of cybersecurity attack detection models.</dcterms:abstract>
<dcterms:dateAccepted>2025-11-06T13:33:06Z</dcterms:dateAccepted>
<dcterms:available>2025-11-06T13:33:06Z</dcterms:available>
<dcterms:created>2025-11-06T13:33:06Z</dcterms:created>
<dcterms:issued>2025-11-04</dcterms:issued>
<dc:type>dataset</dc:type>
<dc:identifier>Martinez Gonzalez, B. A., Diez Bermejo, A., Pérez Sevilla, M., Rincon Arango, J. A., &amp; Urda Muñoz, D. (2025). Raw Network Traffic Captures for IoT Cyberattack Detection in Fog Computing Environments [Data set]. Universidad de Burgos. https://doi.org/10.71486/DGZA-T550</dc:identifier>
<dc:identifier>https://hdl.handle.net/10259/11037</dc:identifier>
<dc:identifier>10.71486/dgza-t550</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>info:eu-repo/grantAgreement/INCIBE//MR5Ñ05/ES/Inteligencia Artificial para la Securización de Dispositivos IoT/IA4SECIoT/</dc:relation>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:coverage>start=2025-02; end=2025-05</dc:coverage>
<dc:coverage>north=42.351; west=-3.689; name=Escuela Politécnica Superior (Universidad de Burgos), Burgos, Spain</dc:coverage>
<dc:publisher>Universidad de Burgos</dc:publisher>
</qdc:qualifieddc></metadata></record></GetRecord></OAI-PMH>