A Privacy-Protecting Framework of Autonomous Contact Tracing for SARS-CoV-2 and Beyond
Shamiul Alam, Md Shafayat Hossain, and Ahmedullah Aziz

TL;DR
This paper proposes a Bluetooth-based, privacy-preserving contact tracing hardware with anonymous IDs, aiming to efficiently identify and isolate risky contacts during infectious disease outbreaks like COVID-19.
Contribution
It introduces a wearable device that measures proximity and exchanges anonymous IDs, addressing privacy concerns and reducing manual contact tracing efforts.
Findings
Simulated effectiveness in curbing disease spread
Privacy-preserving anonymous ID exchange
Potential for scalable deployment
Abstract
Controlling the spread of infectious diseases, such as the ongoing SARS-CoV-2 pandemic, is one of the most challenging problems for human civilization. The world is more populous and connected than ever before, and therefore, the rate of contagion for such diseases often becomes stupendous. The development and distribution of testing kits cannot keep up with the demand, making it impossible to test everyone. The next best option is to identify and isolate the people who come in close contact with an infected person. However, this apparently simple process, commonly known as - contact tracing, suffers from two major pitfalls: the requirement of a large amount of manpower to track the infected individuals manually and the breach in privacy and security while automating the process. Here, we propose a Bluetooth based contact tracing hardware with anonymous IDs to solve both the drawbacks…
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Taxonomy
TopicsCOVID-19 Digital Contact Tracing · Privacy, Security, and Data Protection · Privacy-Preserving Technologies in Data
