Department of Information Security and Communication Technology, Norwegian University of Science and Technology, 2815 Gjøvik, Norway.
TELEVES S.A.U., 15706 Santiago de Compostela, Spain.
Sensors (Basel). 2020 Nov 18;20(22):6600. doi: 10.3390/s20226600.
Smart-home installations exponential growth has raised major security concerns. To this direction, the GHOST project, a European Union Horizon 2020 Research and Innovation funded project, aims to develop a reference architecture for securing smart-homes IoT ecosystem. It is required to have automated and user friendly security mechanisms embedded into smart-home environments, to protect the users' digital well being. GHOST project aims to fulfill this requirement and one of its main functionalities is the traffic monitoring for all IoT related network protocols. In this paper, the traffic capturing and monitoring mechanism of the GHOST system, called NDFA, is presented, as the first mechanism that is able to monitor smart-home activity in a holistic way. With the help of the NDFA, we compile the , an IoT network traffic data-set, captured in a real world smart-home installation. This data-set contains traffic from multiple network interfaces with both normal real life activity and simulated abnormal functioning of the devices. The is offered to the research community as a proof of concept to demonstrate the ability of the NDFA module to process the raw network traffic from a real world smart-home installation with multiple network interfaces and IoT devices.
智能家居安装的指数级增长引发了重大安全问题。为此，GHOST 项目应运而生，这是一个由欧盟地平线 2020 研究与创新计划资助的项目，旨在为智能家居物联网生态系统开发一个安全参考架构。需要将自动化且用户友好的安全机制嵌入智能家居环境中，以保护用户的数字福祉。GHOST 项目旨在满足这一需求，其主要功能之一是监控所有与物联网相关的网络协议的流量。在本文中，我们介绍了 GHOST 系统的流量捕获和监控机制，称为 NDFA，它是第一个能够全面监控智能家居活动的机制。借助 NDFA，我们编译了一个物联网网络流量数据集，该数据集是在真实智能家居安装中捕获的。该数据集包含来自多个网络接口的流量，其中包括正常的现实生活活动和模拟设备的异常运行。该数据集提供给研究社区，作为一个概念验证，展示了 NDFA 模块处理来自具有多个网络接口和物联网设备的真实智能家居安装的原始网络流量的能力。
