The number of mobile devices, such as smartphones and smartwatches, is relentlessly increasing to almost 6.8 billion by 2022, and along with it, the amount of personal and sensitive data captured by them. This survey overviews the state of the art of what personal and sensitive user attributes can be extracted from mobile device sensors, emphasising critical aspects such as demographics, health and body features, activity and behaviour recognition, etc. In addition, we review popular metrics in the literature to quantify the degree of privacy, and discuss powerful privacy methods to protect the sensitive data while preserving data utility for analysis. Finally, open research questions a represented for further advancements in the field.
翻译:智能手机和智能观察器等移动设备的数量在2022年无情地增长到近68亿个,与此同时,它们收集的个人和敏感数据的数量也在不断增加。本调查概述了从移动设备传感器中提取个人和敏感用户属性的先进程度,强调了人口、健康和身体特征、活动和行为识别等关键方面。此外,我们审查文献中的流行指标,以量化隐私程度,并讨论保护敏感数据的强大隐私方法,同时保留数据用于分析。最后,开放研究提出了在实地取得进一步进展的问题。