Re-Identification Risk versus Data Utility for Aggregated Mobility Research Using Mobile Phone Location Data.

ABSTRACT: Mobile phone location data is a newly emerging data source of great potential to support human mobility research. However, recent studies have indicated that many users can be easily re-identified based on their unique activity patterns. Privacy protection procedures will usually change the original data and cause a loss of data utility for analysis purposes. Therefore, the need for detailed data for activity analysis while avoiding potential privacy risks presents a challenge. The aim of this study is to reveal the re-identification risks from a Chinese city's mobile users and to examine the quantitative relationship between re-identification risk and data utility for an aggregated mobility analysis. The first step is to apply two reported attack models, the top N locations and the spatio

SUBMITTER: Yin L 

PROVIDER: S-EPMC4607417 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature