Re-identification risk versus data utility for aggregated mobility research using mobile phone location data
文献类型：期刊论文
| 作者 | Ling Yin; Qian Wang; Shih-Lung Shaw; Zhixiang Fang; Jinxing Hu; Ye Tao; Wei Wang |
| 刊名 | Plos ONE
 |
| 出版日期 | 2015 |
| 英文摘要 | 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-temporal points, to evaluate the
re-identification risks in Shenzhen City, a metropolis in China. A spatial generalization
approach to protecting privacy is then proposed and implemented, and spatially aggregated
analysis is used to assess the loss of data utility after privacy protection. The results demonstrate
that the re-identification risks in Shenzhen City are clearly different from those in
regions reported in Western countries, which prove the spatial heterogeneity of re-identification
risks in mobile phone location data. A uniform mathematical relationship has also been
found between re-identification risk (x) and data (y) utility for both attack models: y = -axb+c,
(a, b, c>0; 0 |
| 收录类别 | SCI |
| 原文出处 | http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0140589 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6865]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | Plos ONE |
| 推荐引用方式 GB/T 7714 | Ling Yin,Qian Wang,Shih-Lung Shaw,et al. Re-identification risk versus data utility for aggregated mobility research using mobile phone location data[J]. Plos ONE,2015. |
| APA | Ling Yin.,Qian Wang.,Shih-Lung Shaw.,Zhixiang Fang.,Jinxing Hu.,...&Wei Wang.(2015).Re-identification risk versus data utility for aggregated mobility research using mobile phone location data.Plos ONE. |
| MLA | Ling Yin,et al."Re-identification risk versus data utility for aggregated mobility research using mobile phone location data".Plos ONE (2015). |
入库方式： OAI收割
来源：深圳先进技术研究院
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