用容器化框架生成真实多样的物联网设备流量，支持可复现测试。
IoT-Zoo: A Container-Based Framework for Heterogeneous IoT Device Profiles and Reproducible Traffic Capture
- 基于容器构建异构设备仿真环境，支持多种真实协议
- 一键部署场景并自动抓取流量，生成一致基准数据
- 适合网络与安全方案评估者，提升实验可复现性
物联网（IoT）网络与安全方案的验证需要真实且可复现的实验数据。现有平台常通过复制有限设备类型实现扩展，限制了设备特征多样性，无法反映真实物联网环境的异构性。本文提出IoT-Zoo，一个基于容器的测试平台，通过数据驱动的异构设备画像支持可复现实验。基于Containernet构建，IoT-Zoo自动化部署多域场景，支持真实应用协议如MQTT和RTSP。平台提供单命令接口完成环境配置与自动流量捕获（PCAP），生成一致的流量基线，显著降低评估网络与安全方案的操作成本。
原文摘要 · Abstract (English)
The validation of networking and security solutions for the Internet of Things (IoT) requires realistic and reproducible experimental data. However, existing platforms often achieve scalability by replicating a limited set of device types, which restricts profile diversity and fails to capture the heterogeneity of real-world IoT environments. In this paper, we present IoT-Zoo, a container-based testbed designed to support reproducible experimentation through heterogeneous, dataset-driven IoT device profiles. Built upon Containernet, IoT-Zoo automates the deployment of multi-domain scenarios and supports real application protocols such as MQTT and RTSP. The platform provides a single-command interface for environment provisioning and automated traffic capture (PCAP), enabling the generation of consistent traffic baselines and reducing the operational effort required to evaluate networking and security solutions.
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