Raw Network Traffic Captures for IoT Cyberattack Detection in Fog Computing Environments

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.

本数据集包含来自受控实验室实验的原始网络数据包捕获文件（PCAP格式），该类实验在雾计算环境中模拟物联网（IoT）的正常与恶意网络流量。本次实验采用资源受限的边缘设备，具体为树莓派4（Raspberry Pi 4）与Jetson Nano。恶意流量对应于在隔离本地网络中，由Jetson Nano发起的针对树莓派4的拒绝服务（Denial-of-Service, DoS）攻击；正常流量则反映典型的物联网设备行为，包括告警生成、域名系统（DNS）请求、遥测数据或设备管理通信（如MQTT协议更新）。所有数据包捕获均在可复现的实验室条件下完成，旨在为入侵检测、物联网网络行为分析，以及网络安全攻击检测模型的开发与训练提供研究支撑。