Semantics-based privacy by design for Internet of Things applications
Semantics-based privacy by design for Internet of Things applications
复制标题
针对物联网应用设计的基于语义的隐私
DOI：
10.1016/j.future.2022.08.013
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Alkhariji L
中科院分区：
文献类型：
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作者：
Alkhariji L
随着物联网（IoT）技术在日常生活中变得越来越普遍，隐私问题变得越来越突出。这项研究的目的是开发一个个人助理，可以回答软件工程师在物联网系统开发的设计阶段关于设计隐私（PbD）实践的问题。语义Web技术用于对PbD测量的基础知识、其与隐私模式的交叉点、物联网系统要求以及应在物联网系统中应用的隐私模式进行建模。这是通过开发PARROT本体来实现的，该本体是通过一组与软件开发人员相关的代表性物联网用例开发的。通过一系列研讨会收集能力问题（CQ），从而产生了81个策划的CQ。然后将这些CQ记录为SPARQL查询，并在Protégé HermiT Reasoner和Ontology Pitfall Scanner（OOPS！）的帮助下使用Common Pitfalls模型对开发的本体进行评估，以及外部专家的评估。在一项用户研究中对本体进行了评估，该研究发现PARROT本体可以回答软件工程师高达58%的隐私相关问题。
As Internet of Things (IoT) technologies become more widespread in everyday life, privacy issues are becoming more prominent. The aim of this research is to develop a personal assistant that can answer software engineers’ questions about Privacy by Design (PbD) practices during the design phase of IoT system development. Semantic web technologies are used to model the knowledge underlying PbD measurements, their intersections with privacy patterns, IoT system requirements and the privacy patterns that should be applied across IoT systems. This is achieved through the development of the PARROT ontology, developed through a set of representative IoT use cases relevant for software developers. This was supported by gathering Competency Questions (CQs) through a series of workshops, resulting in 81 curated CQs. These CQs were then recorded as SPARQL queries, and the developed ontology was evaluated using the Common Pitfalls model with the help of the Protégé HermiT Reasoner and the Ontology Pitfall Scanner (OOPS!), as well as evaluation by external experts. The ontology was assessed within a user study that identified that the PARROT ontology can answer up to 58% of privacy-related questions from software engineers.