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Controlling the spread of infectious diseases, such as the ongoing SARS-CoV-2pandemic, is one of the most challenging problems for human civilization. Theworld is more populous and connected than ever before, and therefore, the rateof contagion for such diseases often becomes stupendous. The development anddistribution of testing kits cannot keep up with the demand, making itimpossible to test everyone. The next best option is to identify and isolatethe people who come in close contact with an infected person. However, thisapparently simple process, commonly known as - contact tracing, suffers fromtwo major pitfalls: the requirement of a large amount of manpower to track theinfected individuals manually and the breach in privacy and security whileautomating the process. Here, we propose a Bluetooth based contact tracinghardware with anonymous IDs to solve both the drawbacks of the existingapproaches. The hardware will be a wearable device that every user can carryconveniently. This device will measure the distance between two users andexchange the IDs anonymously in the case of a close encounter. The anonymousIDs stored in the device of any newly infected individual will be used to tracethe risky contacts and the status of the IDs will be updated consequently byauthorized personnel. To demonstrate the concept, we simulate the workingprocedure and highlight the effectiveness of our technique to curb the spreadof any contagious disease.

A Privacy-Protecting Framework of Autonomous Contact Tracing for SARS-CoV-2 and Beyond