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Trust Management in Industrial Internet of Things
IEEE Transactions on Information Forensics and Security ( IF 6.8 ) Pub Date : 2020-05-25 , DOI: 10.1109/tifs.2020.2997179
Chaimaa Boudagdigue , Abderrahim Benslimane , Abdellatif Kobbane , Jiajia Liu

Automobile manufacturers around the world are increasingly deploying Industrial Internet of Things (IIoT) devices in their factories to accompany the Industrial Revolution 4.0. Security and privacy are the main limitations to the integration of Internet of Things (IoT) into industrial processes. Therefore, it is necessary to protect industrial data contained in IIoT devices and keep them confidential. As a step towards this direction, in this paper, we propose a dynamic trust management model suitable for industrial environments. We propose also to change the traditional centralized architecture of IIoT networks in automotive plants into a hybrid architecture based on a set of new industrial relationship rules. The performance evaluation in this work is done in two parts. In the first part, we compare our proposed architecture with the traditional architecture of the plant’s IIoT network. The results of this comparison show that our architecture is more suitable to simplify trust management of IIoT devices. In the second part, we demonstrated the ability, the adaptiveness and the resiliency of our proposed trust model against behavioral changes of IIoT nodes in malicious environments.

中文翻译:

工业物联网中的信任管理

伴随着工业革命4.0,世界各地的汽车制造商越来越多地在其工厂中部署工业物联网(IIoT)设备。安全和隐私是将物联网(IoT)集成到工业流程中的主要限制。因此,有必要保护IIoT设备中包含的工业数据并对其保密。作为朝这个方向迈出的一步,我们提出了一种适用于工业环境的动态信任管理模型。我们还建议将汽车工厂中传统的IIoT网络的集中式架构更改为基于一组新的产业关系规则的混合架构。这项工作中的绩效评估分为两个部分。在第一部分,我们将我们提出的架构与工厂IIoT网络的传统架构进行了比较。比较结果表明,我们的架构更适合简化IIoT设备的信任管理。在第二部分中,我们展示了我们提出的信任模型针对恶意环境中IIoT节点的行为变化的能力,适应性和弹性。
更新日期:2020-07-14
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