物联网和雾计算网络安全框架

Dominik Soukup, Ondřej Hujňák, Simon Štefunko, Radek Krejcí, Erik Gresak
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引用次数: 5

摘要

我们的环境变得越来越相互联系。冰箱、门或灯泡等各种设备通过不同的网络进行通信,并为应用程序提供信息,这些应用程序本应使我们的生活更轻松、更舒适。然而,这些数据提供了关于我们的存在或习惯的敏感信息,并成为网络攻击者的吸引力。在异构物联网网络中,检测不同设备进出或频繁更改其网络配置文件的事件非常具有挑战性。我们提出了一个物联网和雾计算网络的安全框架来应对这些挑战。我们的框架非常灵活,甚至为计算能力有限的设备设计。所有组件都可以部署在一个网络节点上,也可以分布在多个网络节点上,这也允许容易的可伸缩性。我们的解决方案的一部分是软件物联网网关,提供分析来自非ip物联网传感器的流量的能力。该项目涵盖了全栈安全解决方案,因为它包含收集器、检测器和管理工具。这个框架只有软件组件,与任何特定的硬件设备没有关系。它是作为一个开源项目开发的,它对全球社区公开可用。目前开发的探测器可检测Z-Wave、远程广域网(Lo-RaWAN)、BLE和基于IP的物联网协议的已识别漏洞。
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Security Framework for IoT and Fog Computing Networks
Our environment becomes more and more interconnected. Various devices like refrigerators, doors or light bulbs communicate over different networks and provide information for applications that are supposed to make our lives easier and more comfortable. However, such data provide sensitive information about our presence or habits and become captivating for network attackers. It is very challenging to detect incidents in heterogeneous IoT networks where different devices come in and out or change their network profiles quite frequently. We propose a security framework for IoT and fog computing networks to address these challenges. Our framework is very flexible and designed even for devices with limited computational power. All components can be deployed on one network node or distributed among many, which also allows easy scalability. Part of our solution is software IoT gateway that provides the capability to analyse traffic from non-IP IoT sensors. This project covers full-stack security solution because it contains collectors, detectors and management tools. This framework has only software components with no relation to any specific hardware device. It is developed as an open-source project and it is publicly available for the worldwide community. Currently developed detectors detect identified vulnerabilities for Z-Wave, Long Range Wide Area Network (Lo-RaWAN), BLE and IP based IoT protocols.
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