Network traffic generation is one of the primary techniques that is used to design and analyze the performance of network security systems. However, due to the diversity of IoT networks in terms of devices, applications and protocols, the traditional network traffic generator tools are unable to generate the IoT specific protocols traffic. Hence, the traditional traffic generator tools cannot be used for designing and testing the performance of IoT-specific security solutions. In order to design an IoT-based traffic generation framework, two main challenges include IoT device modelling and generating the IoT normal and attack traffic simultaneously. Therefore, in this work, we propose an open-source framework for IoT traffic generation which supports the two widely used IoT application layer protocols, i.e., MQTT and CoAP. The proposed framework allows a user to create an IoT use case, add customized IoT devices into it and generate normal and malicious IoT traffic over a real-time network. Furthermore, we set up a real-time IoT smart home use case to manifest the applicability of the proposed framework for developing the security solutions for IoT smart home by emulating the real world IoT devices. The experimental results demonstrate that the proposed framework can be effectively used to develop better security solutions for IoT networks without physically deploying the real-time use case.

中文翻译：

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IoT-Flock：物联网流量生成的开源框架

网络流量生成是用于设计和分析网络安全系统性能的主要技术之一。然而，由于物联网网络在设备、应用和协议方面的多样性，传统的网络流量生成工具无法生成物联网特定协议流量。因此，传统的流量生成器工具不能用于设计和测试物联网特定安全解决方案的性能。为了设计基于物联网的流量生成框架，两个主要挑战包括物联网设备建模和同时生成物联网正常和攻击流量。因此，在这项工作中，我们提出了一个开源的物联网流量生成框架，它支持两种广泛使用的物联网应用层协议，即 MQTT 和 CoAP。提议的框架允许用户创建物联网用例，将定制的物联网设备添加到其中，并通过实时网络生成正常和恶意的物联网流量。此外，我们建立了一个实时物联网智能家居用例，以通过模拟现实世界的物联网设备来展示所提出的框架的适用性，用于开发物联网智能家居的安全解决方案。实验结果表明，所提出的框架可以有效地用于为物联网网络开发更好的安全解决方案，而无需实际部署实时用例。我们建立了一个实时物联网智能家居用例，以通过模拟现实世界的物联网设备来证明所提出的框架的适用性，用于开发物联网智能家居的安全解决方案。实验结果表明，所提出的框架可以有效地用于为物联网网络开发更好的安全解决方案，而无需实际部署实时用例。我们建立了一个实时物联网智能家居用例，以通过模拟现实世界的物联网设备来证明所提出的框架的适用性，用于开发物联网智能家居的安全解决方案。实验结果表明，所提出的框架可以有效地用于为物联网网络开发更好的安全解决方案，而无需实际部署实时用例。