2026-06-17T16:49:47Zhttps://riubu.ubu.es/oai/request

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

Martínez González, Branly Alberto Díez Bermejo, Alejandro Pérez Sevilla, Malena Rincón Arango, Jaime Andrés Urda Muñoz, Daniel 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. eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional IoT Cybersecurity PCAP Network Traffic Fog Computing Denial-of-Service (DoS) Raw Network Traffic Captures for IoT Cyberattack Detection in Fog Computing Environments [Dataset]  dataset