CRMar 26, 2019

Privacy in trajectory micro-data publishing : a survey

arXiv:1903.12211v369 citations
Originality Synthesis-oriented
AI Analysis

It provides an introductory overview for researchers and practitioners concerned with privacy risks in digital services, but is incremental as a survey.

The paper surveys privacy-preserving data publishing methods for trajectory micro-data, addressing attacks and solutions to protect individual privacy in mobility data.

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 micro-data 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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