2026-05-23T18:39:37Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/110372025-11-07T12:30:49Zcom_10259_2604col_10259_5684

Martínez González, Branly Alberto 454038fd-7bfb-486f-aa0d-937994dc05c7 600 Díez Bermejo, Alejandro a03328b3-21e6-4bac-a090-e6eea67ca7aa 600 Pérez Sevilla, Malena 211933d8-236e-4e2b-a72a-e4e7e712b2eb 600 Rincón Arango, Jaime Andrés 926 600 0000-0003-1153-0616 Urda Muñoz, Daniel 753 600 0000-0003-2662-798X start=2025-02; end=2025-05 north=42.351; west=-3.689; name=Escuela Politécnica Superior (Universidad de Burgos), Burgos, Spain 2025-11-06T13:33:06Z 2025-11-06T13:33:06Z 2025-11-04 Martinez 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-T550 https://hdl.handle.net/10259/11037 10.71486/dgza-t550 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). 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. This 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). text/plain application/vnd.tcpdump.pcap eng Universidad de Burgos Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess IoT Cybersecurity PCAP Network Traffic Fog Computing Denial-of-Service (DoS) Redes informáticas-Medidas de seguridad Seguridad informática Computer networks-Security measures Computer security Raw Network Traffic Captures for IoT Cyberattack Detection in Fog Computing Environments [Dataset]  dataset info:eu-repo/semantics/acceptedVersion info:eu-repo/grantAgreement/INCIBE//MR5Ñ05/ES/Inteligencia Artificial para la Securización de Dispositivos IoT/IA4SECIoT/ 2025 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/11037/3/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 908 https://riubu.ubu.es/bitstream/10259/11037/2/license_rdf 0175ea4a2d4caec4bbcc37e300941108 MD5 2 ORIGINAL readme.txt readme.txt text/plain 6531 https://riubu.ubu.es/bitstream/10259/11037/4/readme.txt 820bad6e8eb38326c1f9bd6900a75bd9 MD5 4 Martinez-Raw_Network Traffic_Captures_for_IoT-Dataset_2025.zip Martinez-Raw_Network Traffic_Captures_for_IoT-Dataset_2025.zip application/zip 1269092760 https://riubu.ubu.es/bitstream/10259/11037/1/Martinez-Raw_Network%20Traffic_Captures_for_IoT-Dataset_2025.zip 7f131359c8daf22e9650259c208341b8 MD5 1 10259/11037 oai:riubu.ubu.es:10259/11037 2025-11-07 13:30:49.34 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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