Cellular-Assisted COVID-19 Contact Tracing
Cellular-Assisted COVID-19 Contact Tracing
复制标题
蜂窝辅助 COVID-19 接触者追踪
DOI：
10.1145/3469258.3469848
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Jamieson, Kyle
中科院分区：
文献类型：
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作者：
Yi, Fan;Xie, Yaxiong;Jamieson, Kyle
新型冠状病毒病（COVID-19）大流行在全球引发社会及经济动荡。接触者追踪是卫生当局可能遏制COVID-19传播的一种行之有效的方法，但对于空气传播疾病来说具有挑战性。在本文中，我们提出了LTESafe，这是一种蜂窝辅助的隐私保护COVID-19接触追踪系统。LTESafe利用基于深度神经网络的特征提取器将蜂窝CSI映射到高维特征空间，在该空间内，点之间的欧几里得距离指示设备的接近度。通过这样做，我们通过隐藏智能手机的物理位置来保护用户隐私，同时实现高准确性。我们的初步实验结果表明，LTESafe在确定两个设备是否在6英尺范围内时达到了92.79%的整体准确度，并且仅错过了1.35%的密切接触。
The coronavirus disease (COVID-19) pandemic has caused social and economic upheaval around the world. Contact tracing is a proven effective way that health authorities may contain the spread of COVID-19, but is challenging for airborne disease. In this paper, we propose LTESafe, a cellular-assisted privacy-preserving COVID-19 contact tracing system. LTESafe leverages a deep neural network based feature extractor to map the cellular CSI to a high-dimensional feature space, within which the Euclidean distance between points indicates the proximity of devices. By doing so, we preserve user privacy by hiding the physical locations of smartphones and at the same time achieve high accuracy. Our preliminary experimental results demonstrate that LTESafe achieves an overall accuracy of 92.79% in determining whether two devices are within six feet proximity or not, and only misses 1.35% of close contacts.
DOI：
10.1136/ebmh.11.4.102
发表时间：
2008-10
期刊：
Evidence Based Mental Health
影响因子：
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作者：
P. Cochat;L. Vaucoret;J. Sarles
通讯作者：
P. Cochat;L. Vaucoret;J. Sarles