Privacy Knowledge Modelling for Internet of Things: A Look Back
This is an incremental review paper that synthesizes existing knowledge to inform privacy modeling for IoT stakeholders.
The paper reviews how privacy knowledge has been modeled in various domains to address privacy challenges in the Internet of Things (IoT), aiming to analyze past research and discuss its applicability to IoT without presenting new results or numbers.
Internet of Things (IoT) and cloud computing together give us the ability to sense, collect, process, and analyse data so we can use them to better understand behaviours, habits, preferences and life patterns of users and lead them to consume resources more efficiently. In such knowledge discovery activities, privacy becomes a significant challenge due to the extremely personal nature of the knowledge that can be derived from the data and the potential risks involved. Therefore, understanding the privacy expectations and preferences of stakeholders is an important task in the IoT domain. In this paper, we review how privacy knowledge has been modelled and used in the past in different domains. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT. Finally, we discuss major research challenges and opportunities.