globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0098790
论文题名:
openPDS: Protecting the Privacy of Metadata through SafeAnswers
作者: Yves-Alexandre de Montjoye; Erez Shmueli; Samuel S. Wang; Alex Sandy Pentland
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2014
发表日期: 2014-7-9
卷: 9, 期:7
语种: 英语
英文关键词: Cell phones ; Data management ; Accelerometers ; Data mining ; Mental health and psychiatry ; Telecommunications ; Cloud computing ; Human mobility
英文摘要: The rise of smartphones and web services made possible the large-scale collection of personal metadata. Information about individuals' location, phone call logs, or web-searches, is collected and used intensively by organizations and big data researchers. Metadata has however yet to realize its full potential. Privacy and legal concerns, as well as the lack of technical solutions for personal metadata management is preventing metadata from being shared and reconciled under the control of the individual. This lack of access and control is furthermore fueling growing concerns, as it prevents individuals from understanding and managing the risks associated with the collection and use of their data. Our contribution is two-fold: (1) we describe openPDS, a personal metadata management framework that allows individuals to collect, store, and give fine-grained access to their metadata to third parties. It has been implemented in two field studies; (2) we introduce and analyze SafeAnswers, a new and practical way of protecting the privacy of metadata at an individual level. SafeAnswers turns a hard anonymization problem into a more tractable security one. It allows services to ask questions whose answers are calculated against the metadata instead of trying to anonymize individuals' metadata. The dimensionality of the data shared with the services is reduced from high-dimensional metadata to low-dimensional answers that are less likely to be re-identifiable and to contain sensitive information. These answers can then be directly shared individually or in aggregate. openPDS and SafeAnswers provide a new way of dynamically protecting personal metadata, thereby supporting the creation of smart data-driven services and data science research.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0098790&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/19373
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America;Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America;DIG/CSAIL, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America;Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

Recommended Citation:
Yves-Alexandre de Montjoye,Erez Shmueli,Samuel S. Wang,et al. openPDS: Protecting the Privacy of Metadata through SafeAnswers[J]. PLOS ONE,2014-01-01,9(7)
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