ColPri: Towards a Collaborative Privacy Knowledge Management Ontology for the Internet of Things
ColPri: Towards a Collaborative Privacy Knowledge Management Ontology for the Internet of Things
复制标题
ColPri：迈向物联网协作隐私知识管理本体
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
I. Saleh
中科院分区：
文献类型：
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作者：
A. Toumia;Samuel Szoniecky;I. Saleh
用户隐私首选项管理是一项非常重要的任务。在物联网（IoT）的背景下，大量数据通过各种本地和云架构生成、传输和存储，隐私保护变得复杂且难以管理。事实上，隐私管理是一项耗时的活动，需要大量的知识，而由于其复杂性，大多数物联网系统用户往往缺乏或不热衷于获取这些知识。知识维度经常被研究人员和工业界所忽视。本文主要讨论隐私保护知识管理方面的内容。我们制作了ColPri的第一个版本，这是一个本体，为协作可扩展的隐私保护知识管理系统奠定了基础，该系统能够协作生成物联网利益相关者隐私政策的诊断。本文旨在研究物联网中的协同隐私知识管理，以及非技术用户如何从中受益，从而轻松配置他们的隐私策略。它允许公开交换与隐私相关的知识。在指定了指导我们在本体创建过程中选择的设计需求之后，我们提出了ColPri，一个协作隐私本体。该本体展示了如何使用隐私社区在以用户为中心的隐私架构中创建和开发与隐私相关的信息。然后，我们通过一个用例场景展示如何使用这个本体。最后，在此基础上对未来的研究进行了展望。
User privacy preferences management is a nontrivial task. In the context of the Internet of Things (IoT), where a huge amount of data is generated, transferred and stored via various local and cloud architectures, privacy protection becomes complex and hard to manage. Indeed, privacy management is a time-consuming activity that requires a lot of knowledge which most of IoT system users often lack or are not keen on acquiring due to its complexity. The knowledge dimension has often been neglected, by both researchers and industry. In this article, we focus on the privacy protection knowledge management aspect. We produce a first version of ColPri, an ontology that sets the basis for a collaborative extensible privacy protection knowledge management system that is able to collaboratively produce diagnosis of IoT stakeholders privacy policies. This paper aims to investigate collaborative privacy knowledge management in the IoT and how non-technical users could benefit from it to easily configure their privacy policies. It allows an open exchange of privacy-related knowledge. We propose ColPri, a collaborative privacy ontology after specifying design requirements that guided our choices during the ontology creation process. This ontology lays out the use of a privacy community to create and develop privacy-related information within a user-centric privacy architecture. Then, we show how to use this ontology through a use case scenario. Finally, we describe future research based on this work.