Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10259/11037
Título
Raw Network Traffic Captures for IoT Cyberattack Detection in Fog Computing Environments [Dataset]
Autor
Editorial
Universidad de Burgos
Fecha de publicación
2025-11-04
DOI
10.71486/dgza-t550
Resumen
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.
Palabras clave
IoT
Cybersecurity
PCAP
Network Traffic
Fog Computing
Denial-of-Service (DoS)
Materia
Redes informáticas-Medidas de seguridad
Computer networks-Security measures
Seguridad informática
Computer security
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