A privacy-preserving data storage and service framework based on deep learning and blockchain for construction workers' wearable IoT sensors. (arXiv:2211.10713v1 [cs.CR])

Classifying brain signals collected by wearable Internet of Things (IoT)
sensors, especially brain-computer interfaces (BCIs), is one of the
fastest-growing areas of research. However, research has mostly ignored the
secure storage and privacy protection issues of collected personal
neurophysiological data. Therefore, in this article, we try to bridge this gap
and propose a secure privacy-preserving protocol for implementing BCI
applications. We first transformed brain signals into images and used
generative adversarial network to generate synthetic signals to protect data
privacy. …

blockchain construction data data storage deep learning framework iot privacy sensors service storage wearable workers