A WiFi Sniffing Solution for Safe Return to Classes

R. Pietraru, Stefan Andrei, M. Nicolae, D. Merezeanu
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Abstract

The current pandemic caused by the SARS-CoV-2 virus has affected all sectors of activity through quarantine measures imposed to stop the spread of the disease. In the absence of safe treatment, social distancing and wearing a face mask are the only weapons to combat this pandemic. Unfortunately, social distance has led to the migration of education to a distance format reducing the interaction between teachers and students. Even if, through the vaccination process, the spread of COVID19 disease will be slowed down, the physical return to schools and universities will be done under the sign of social distancing and health precautions. This article proposes a simple and low-cost solution for monitoring the density of people in a room by monitoring WiFi traffic. Because the solution can be implemented on a large scale, it is suitable for implementation as a centralized monitoring and warning solution at school or university campus level.
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安全返回课堂的WiFi嗅探解决方案
当前由SARS-CoV-2病毒引起的大流行通过为阻止疾病传播而采取的隔离措施影响了所有活动部门。在缺乏安全治疗的情况下,保持社交距离和戴口罩是抗击这一流行病的唯一武器。不幸的是,社会距离导致了教育向远程形式的迁移,减少了师生之间的互动。即使通过疫苗接种过程减缓了covid - 19疾病的传播,但实际返回学校和大学也将在保持社交距离和预防健康的标志下进行。本文提出了一种简单、低成本的解决方案,通过监控WiFi流量来监控房间内的人员密度。由于该解决方案可以大规模实施,因此适合作为学校或大学校园级的集中监控和预警解决方案实施。
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