论文标题
设计互联网应用程序的基于语义的隐私应用程序
Semantics-based Privacy by Design for Internet of Things Applications
论文作者
论文摘要
随着物联网（IoT）技术在日常生活中变得更加普遍，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，可以在物联网系统开发的设计阶段回答软件工程师对隐私（PBD）实践的问题。语义Web技术用于模拟知识的基础PBD测量，它们与隐私模式，物联网系统要求以及应在物联网系统中应用的隐私模式的相交。这是通过鹦鹉本体论的开发来实现的，该本体论是通过与软件开发人员相关的一组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（CQS），这得到了支持，从而获得了81个策划的CQ。然后将这些CQ记录为SPARQL查询，并在Protégé隐士推理器和本体论陷阱扫描仪（OOPS！）的帮助下，使用共同的陷阱模型评估了开发的本体，并由外部专家评估。在一项用户研究中评估了本体论，该研究表明，鹦鹉本体论可以回答软件工程师的58％与隐私相关的问题。
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.
