id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-130143-cqkpi32z	Tajan, Louis	Approach for GDPR Compliant Detection of COVID-19 Infection Chains	2020-07-16		.txt	text/plain	6056	328	64	While prospect of tracking mobile devices' users is widely discussed all over European countries to counteract COVID-19 propagation, we propose a Bloom filter based construction providing users' location privacy and preventing mass surveillance. We apply a solution based on Bloom filters data structure that allows a third party, a government agency, to perform some privacy-preserving set relations on a mobile telco's access logfile. By computing set relations, the government agency, given the knowledge of two identified persons, has an instrument that provides a (possible) infection chain from the initial to the final infected user no matter at which location on a worldwide scale they are. Even if this regulation does not apply on fields as public health or national security [5] , weaving the proposed Bloom filter based private protocols into infection chains investigation would limit government agencies to solely identify users with high probability of being infected instead of a massive data analysis of all mobile users.	./cache/cord-130143-cqkpi32z.txt	./txt/cord-130143-cqkpi32z.txt