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面向物联网环境中信任建模的可扩展和高效架构。

Towards Scalable and Efficient Architecture for Modeling Trust in IoT Environments.

机构信息

Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.

出版信息

Sensors (Basel). 2021 Apr 24;21(9):2986. doi: 10.3390/s21092986.

DOI:10.3390/s21092986
PMID:33923182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8123191/
Abstract

The (IoS) is gaining ground where cloud environments are utilized to create, subscribe, publish, and share services. The fast and significant evolution of IoS is affecting various aspects in people's life and is enabling a wide spectrum of services and applications ranging from smart e-health, smart homes, to smart surveillance. Building trusted IoT environments is of great importance to achieve the full benefits of IoS. In addition, building trusted IoT environments mitigates unrecoverable and unexpected damages in order to create reliable, efficient, stable, and flexible smart IoS-driven systems. Therefore, ensuring trust will provide the confidence and belief that IoT devices and consequently IoS behave as expected. Before hosting trust models, suitable architecture for Fog computing is needed to provide scalability, fast data access, simple and efficient intra-communication, load balancing, decentralization, and availability. In this article, we propose scalable and efficient Chord-based horizontal architecture. We also show how trust modeling can be mapped to our proposed architecture. Extensive performance evaluation experiments have been conducted to evaluate the performance and the feasibility and also to verify the behavior of our proposed architecture.

摘要

（IoS）在利用云环境创建、订阅、发布和共享服务的领域中得到了广泛应用。IoS 的快速和显著发展正在影响人们生活的各个方面，并能够实现从智能电子健康、智能家居到智能监控等广泛的服务和应用。构建可信的物联网环境对于实现 IoS 的全部优势非常重要。此外，构建可信的物联网环境可以减轻不可恢复和意外的损失，从而创建可靠、高效、稳定和灵活的智能 IoS 驱动系统。因此，确保信任将提供信心和信念，即物联网设备和因此 IoS 按预期运行。在托管信任模型之前，需要适合雾计算的合适架构来提供可扩展性、快速数据访问、简单高效的内部通信、负载均衡、去中心化和可用性。在本文中，我们提出了基于 Chord 的可扩展和高效的水平架构。我们还展示了如何将信任建模映射到我们提出的架构中。已经进行了广泛的性能评估实验，以评估我们提出的架构的性能、可行性以及验证其行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4044/8123191/99d994f52b81/sensors-21-02986-g017.jpg
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