RT dataset
T1 Raw Network Traffic Captures for IoT Cyberattack Detection in Fog Computing Environments [Dataset] 
A1 Martínez González, Branly Alberto
A1 Díez Bermejo, Alejandro
A1 Pérez Sevilla, Malena
A1 Rincón Arango, Jaime Andrés
A1 Urda Muñoz, Daniel
K1 IoT
K1 Cybersecurity
K1 PCAP
K1 Network Traffic
K1 Fog Computing
K1 Denial-of-Service (DoS)
K1 Redes informáticas-Medidas de seguridad
K1 Computer networks-Security measures
K1 Seguridad informática
K1 Computer security
AB 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.
PB Universidad de Burgos
YR 2025
FD 2025-11-04
LK https://hdl.handle.net/10259/11037
UL https://hdl.handle.net/10259/11037
LA eng
NO 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
NO 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).
DS Repositorio Institucional de la Universidad de Burgos
RD 23-may-2026