Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps
Tania Martin, Georgios Karopoulos, Jos\'e L. Hern\'andez-Ramos,, Georgios Kambourakis, and Igor Nai Fovino

TL;DR
This survey reviews global digital contact tracing frameworks and mobile apps developed during COVID-19, analyzing architectures, privacy models, and security considerations to inform future improvements.
Contribution
It provides the first comprehensive review of COVID-19 contact tracing architectures, including system types, deployed apps, and adversary models, offering new insights into privacy and security.
Findings
Bluetooth Low Energy is the most promising technology for contact tracing.
Decentralized architectures are preferred for privacy preservation.
Most apps follow privacy-preserving protocols with varying security measures.
Abstract
The coronavirus pandemic is a new reality and it severely affects the modus vivendi of the international community. In this context, governments are rushing to devise or embrace novel surveillance mechanisms and monitoring systems to fight the outbreak. The development of digital tracing apps, which among others are aimed at automatising and globalising the prompt alerting of individuals at risk in a privacy-preserving manner is a prominent example of this ongoing effort. Very promptly, a number of digital contact tracing architectures has been sprouted, followed by relevant app implementations adopted by governments worldwide. Bluetooth, and specifically its Low Energy (BLE) power-conserving variant has emerged as the most promising short-range wireless network technology to implement the contact tracing service. This work offers the first to our knowledge, full-fledged review of the…
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