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Privacy in trajectory micro-data publishing: a survey
Marco Fiore(a),(*), Panagiota Katsikouli(b), Elli Zavou(c), Mathieu Cunche(c), Françoise Fessant(d), Dominique Le Hello(d), Ulrich Matchi Aivodji(e), Baptiste Olivier(d), Tony Quertier(d), Razvan Stanica(c)
Transactions on Data Privacy 13:2 (2020) 91 - 149
Abstract, PDF
(a) IMDEA Networks Institute, Spain.
(b) Technical University of Denmark, Lyngby, Denmark.
(c) University of Lyon, Inria, INSA-Lyon, CITI, France.
(d) Orange Labs, France.
(e) Universite du Quebec à Montreal, Canada.
e-mail:marco.fiore @ieiit.cnr.it; panka @dtu.dk; elli.zavou @inria.fr; mathieu.cunche @insa-lyon.fr; francoise.fessant @orange.com; dominique.le.hello @orange.com; aivodji.ulrich @courrier.uqam.ca; baptiste.olivier @orange.com; tony.quertier @orange.com; razvan.stanica @insa-lyon.fr
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Abstract
We survey the literature on the privacy of trajectory micro-data, i.e., spatiotemporal information about the mobility of individuals, whose collection is becoming increasingly simple and frequent thanks to emerging information and communication technologies. The focus of our review is on privacy-preserving data publishing (PPDP), i.e., the publication of databases of trajectory microdata that preserve the privacy of the monitored individuals. We classify and present the literature of attacks against trajectory micro-data, as well as solutions proposed to date for protecting databases from such attacks. This paper serves as an introductory reading on a critical subject in an era of growing awareness about privacy risks connected to digital services, and provides insights into open problems and future directions for research.
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