{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T08:55:35Z","timestamp":1742806535334},"reference-count":0,"publisher":"Privacy Enhancing Technologies Symposium Advisory Board","issue":"4","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["PoPETs"],"abstract":"<jats:p>Recent work has shown that cell phone mobility data has the unique potential to create accurate models for human mobility and consequently the spread of infected diseases [74]. While prior studies have exclusively relied on a mobile network operator\u2019s subscribers\u2019 aggregated data in modelling disease dynamics, it may be preferable to contemplate aggregated mobility data of infected individuals only. Clearly, naively linking mobile phone data with health records would violate privacy by either allowing to track mobility patterns of infected individuals, leak information on who is infected, or both. This work aims to develop a solution that reports the aggregated mobile phone location data of infected individuals while still maintaining compliance with privacy expectations. To achieve privacy, we use homomorphic encryption, validation techniques derived from zero-knowledge proofs, and differential privacy. Our protocol\u2019s open-source implementation can process eight million subscribers in 70 minutes.<\/jats:p>","DOI":"10.56553\/popets-2022-0132","type":"journal-article","created":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T17:28:44Z","timestamp":1661966924000},"page":"768-788","source":"Crossref","is-referenced-by-count":4,"title":["Privately Connecting Mobility to Infectious Diseases via Applied Cryptography"],"prefix":"10.56553","volume":"2022","author":[{"given":"Alexandros","family":"Bampoulidis","sequence":"first","affiliation":[{"name":"Research Studio Data Science, RSA FG, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandro","family":"Bruni","sequence":"additional","affiliation":[{"name":"Katholieke Universiteit Leuven, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lukas","family":"Helminger","sequence":"additional","affiliation":[{"name":"Graz University of Technology \/ KnowCenter GmbH, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Kales","sequence":"additional","affiliation":[{"name":"Graz University of Technology, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Rechberger","sequence":"additional","affiliation":[{"name":"Graz University of Technology, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roman","family":"Walch","sequence":"additional","affiliation":[{"name":"Graz University of Technology \/ Know-Center GmbH, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"35752","published-online":{"date-parts":[[2022,10]]},"container-title":["Proceedings on Privacy Enhancing Technologies"],"original-title":[],"deposited":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T17:29:53Z","timestamp":1661966993000},"score":1,"resource":{"primary":{"URL":"https:\/\/petsymposium.org\/popets\/2022\/popets-2022-0132.php"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":0,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["10.56553\/popets-2022-0132"],"URL":"https:\/\/doi.org\/10.56553\/popets-2022-0132","relation":{},"ISSN":["2299-0984"],"issn-type":[{"value":"2299-0984","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10]]}}}