Real-time Privacy Preserving Framework for Covid-19 Contact Tracing

The recent unprecedented threat from COVID-19 and past epidemics, such as SARS, AIDS, Ebola, has affected millions of people in multiple countries. Countries have shut their borders, nationals been advised to self-quarantine. variety responses the pandemic given rise data privacy concerns. Infection prevention control strategies well disease measures, especially real-time contact tracing for COVID-19, require identification exposed COVID-19. Such frameworks use mobile apps geolocations trace individuals. However, while motive may be intended, limitations security issues associated with using a technology are serious cause concern. There growing concerns regarding an individual’s location personal identifiable information (PII) being shared governments and/or health agencies. This study presents real-time, trust-based contact-tracing framework that operates without PII, sensing, or gathering GPS logs. focus proposed is ensure Bluetooth range individuals determine others within range. research validates practical privacy-aware. Using our methodology, information, logs, will secure not abused. analyzes 100,000 dataset records 150 devices identify infected users active users.