Web: http://arxiv.org/abs/2211.10713

Nov. 22, 2022, 2:20 a.m. | Xiaoshan Zhou, Pin-Chao Liao

cs.CR updates on arXiv.org arxiv.org

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

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