Private Contact Tracing based on Trajectory-data through Trusted Hardware

Abstract

The COVID19 pandemic has triggered technical measures to halt the disease�s spread. One of the most promising solutions for this is private contact tracing (PCT). However, the recently suggested Bluetooth-based PCT has some function- ality and flexibility restrictions. Only direct contact can be detected by current methods, not indirect contact. Furthermore, dangerous contact regulations are not adaptable to changing environmental conditions or disease strains. They are also not flexible enough to adapt duration of contact into account while calculat- ing PCT. We present a robust and reliable trajectory-based PCT system based on trusted hardware in this study. The conceptual model of trajectory-based PCT is a generalisation of private set intersection (PSI) which is well studied till now. This difficulty is handled by creating new algorithms that result in a safe, efficient, and flexible PCT system that uses trusted hardware like Intel SGX. Experiments have demonstrated that this system is capable of great performance and scalability.Private Contact Tracing, Trusted Execution Environment (TEE), Intel SGX, Tra- jectory Compression.