About: Aggregated Private Information Retrieval: A First Practical Implementation to Support Large-Scale Disease Analytics

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Aggregated Private Information Retrieval: A First Practical Implementation to Support Large-Scale Disease Analytics
Creator	Helminger, Lukas Kales, Daniel Rechberger, Christian Walch, Roman
source	ArXiv
abstract	With the outbreak of the coronavirus, governments rely more and more on location data shared by European mobile network operators to monitor the advancements of the disease. In order to comply with often strict privacy requirements, this location data, however, has to be anonymized, limiting its usefulness for making statements about a filtered part of the population, like already infected people. In this research, we aim to assist with the disease tracking efforts by designing a protocol to detect coronavirus hotspots from mobile data while still maintaining compliance with privacy expectations. We use various state-of-the-art privacy-preserving cryptographic primitives to design a protocol that can best be described as aggregated private information retrieval (APIR). Our protocol is based on homomorphic encryption, with additional measures to protect against malicious requests from clients. We have implemented our APIR protocol in the SEAL library and tested it for parameters suitable to create a coronavirus hotspot map for entire nationstates. This demonstrates that it is feasible to apply our APIR protocol to support nationwide disease analysis while still preserve the privacy of infected people.
has issue date	2020-05-05(xsd:dateTime)
has license	arxiv
sha1sum (hex)	83fec1e348f33f23efdc912f565e5f444724aeab
resource representing a document's title	Aggregated Private Information Retrieval: A First Practical Implementation to Support Large-Scale Disease Analytics
resource representing a document's body	covid:83fec1e348f33f23efdc912f565e5f444724aeab#body_text
is schema:about of	named entity 'order' named entity 'additional' named entity 'limiting' named entity 'protocol' named entity 'mobile data' »more»

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