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PyFF:一种基于雾计算的灵活架构,用于实现基于物联网的公共智能环境的隐私设计。

PyFF: A Fog-Based Flexible Architecture for Enabling Privacy-by-Design IoT-Based Communal Smart Environments.

机构信息

Laboratoire des Méthodes de Conception des Systèmes, Ecole Nationale Supérieure D'Informatique, Algiers 16309, Algeria.

DeustoTech, University of Deusto, 48007 Bilbao, Spain.

出版信息

Sensors (Basel). 2021 May 24;21(11):3640. doi: 10.3390/s21113640.

Abstract

The advent of the Internet of Things (IoT) and the massive growth of devices connected to the Internet are reshaping modern societies. However, human lifestyles are not evolving at the same pace as technology, which often derives into users' reluctance and aversion. Although it is essential to consider user involvement/privacy while deploying IoT devices in a human-centric environment, current IoT architecture standards tend to neglect the degree of trust that humans require to adopt these technologies on a daily basis. In this regard, this paper proposes an architecture to enable privacy-by-design with human-in-the-loop IoT environments. In this regard, it first distills two IoT use-cases with high human interaction to analyze the interactions between human beings and IoT devices in an environment which had not previously been subject to the Internet of People principles.. Leveraging the lessons learned in these use-cases, the Privacy-enabling Fog-based and Flexible (PyFF) human-centric and human-aware architecture is proposed which brings together distributed and intelligent systems are brought together. PyFF aims to maintain end-users' privacy by involving them in the whole data lifecycle, allowing them to decide which information can be monitored, where it can be computed and the appropriate feedback channels in accordance with human-in-the-loop principles.

摘要

物联网(IoT)的出现和大量连接互联网的设备正在重塑现代社会。然而,人类的生活方式并没有跟上技术的发展步伐,这往往导致用户的不情愿和抵触。尽管在以人为中心的环境中部署物联网设备时必须考虑用户的参与度/隐私问题,但当前的物联网架构标准往往忽略了人类在日常生活中采用这些技术所需的信任程度。在这方面,本文提出了一种架构,以在具有人机交互的物联网环境中实现隐私设计。在这方面,它首先提炼了两个具有高度人机交互的物联网用例,以分析在以前不受“人联网”原则约束的环境中人类与物联网设备之间的交互。利用这些用例中获得的经验教训,提出了基于隐私的雾计算和灵活(PyFF)以人为中心和以人为感知的架构,将分布式和智能系统结合在一起。PyFF 的目标是通过让用户参与整个数据生命周期来维护最终用户的隐私,允许他们根据人机交互原则决定可以监控哪些信息、可以在哪里计算以及适当的反馈渠道。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ac2/8197254/e25cdf07dfbf/sensors-21-03640-g001.jpg

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