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dc.contributor.authorMartínez González, Branly Alberto
dc.contributor.authorDíez Bermejo, Alejandro
dc.contributor.authorPérez Sevilla, Malena
dc.contributor.authorRincón Arango, Jaime Andrés 
dc.contributor.authorUrda Muñoz, Daniel 
dc.coverage.temporalstart=2025-02; end=2025-05
dc.coverage.temporalnorth=42.351; west=-3.689; name=Escuela Politécnica Superior (Universidad de Burgos), Burgos, Spaines
dc.date.accessioned2025-11-06T13:33:06Z
dc.date.available2025-11-06T13:33:06Z
dc.date.issued2025-11-04
dc.identifier.citationMartinez Gonzalez, B. A., Diez Bermejo, A., Pérez Sevilla, M., Rincon Arango, J. A., & 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-T550en
dc.identifier.urihttps://hdl.handle.net/10259/11037
dc.description.abstractThese 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). 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.en
dc.description.sponsorshipThis work was carried out under the project *AI4SECIoT – Artificial Intelligence for Securing IoT Devices*, funded by the Instituto Nacional de Ciberseguridad (INCIBE) within the framework of the *Plan de Recuperación, Transformación y Resiliencia*, financed by the European Union (Next Generation EU).en
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/vnd.tcpdump.pcap
dc.language.isoenges
dc.publisherUniversidad de Burgoses
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectIoTen
dc.subjectCybersecurityen
dc.subjectPCAPen
dc.subjectNetwork Trafficen
dc.subjectFog Computingen
dc.subjectDenial-of-Service (DoS)en
dc.subject.otherRedes informáticas-Medidas de seguridades
dc.subject.otherComputer networks-Security measuresen
dc.subject.otherSeguridad informáticaes
dc.subject.otherComputer securityen
dc.titleRaw Network Traffic Captures for IoT Cyberattack Detection in Fog Computing Environments [Dataset] en
dc.typedatasetes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.identifier.doi10.71486/dgza-t550
dc.relation.projectIDinfo:eu-repo/grantAgreement/INCIBE//MR5Ñ05/ES/Inteligencia Artificial para la Securización de Dispositivos IoT/IA4SECIoT/es
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones
dc.publication.year2025


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