Literature DB >> 27185922

Evaluating the privacy properties of telephone metadata.

Jonathan Mayer1, Patrick Mutchler2, John C Mitchell2.   

Abstract

Since 2013, a stream of disclosures has prompted reconsideration of surveillance law and policy. One of the most controversial principles, both in the United States and abroad, is that communications metadata receives substantially less protection than communications content. Several nations currently collect telephone metadata in bulk, including on their own citizens. In this paper, we attempt to shed light on the privacy properties of telephone metadata. Using a crowdsourcing methodology, we demonstrate that telephone metadata is densely interconnected, can trivially be reidentified, and can be used to draw sensitive inferences.

Keywords:  metadata; privacy; social network; surveillance; telephone

Mesh:

Year:  2016        PMID: 27185922      PMCID: PMC4878528          DOI: 10.1073/pnas.1508081113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  6 in total

1.  Structure and tie strengths in mobile communication networks.

Authors:  J-P Onnela; J Saramäki; J Hyvönen; G Szabó; D Lazer; K Kaski; J Kertész; A-L Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-24       Impact factor: 11.205

2.  Understanding the spreading patterns of mobile phone viruses.

Authors:  Pu Wang; Marta C González; César A Hidalgo; Albert-László Barabási
Journal:  Science       Date:  2009-04-02       Impact factor: 47.728

3.  Inferring friendship network structure by using mobile phone data.

Authors:  Nathan Eagle; Alex Sandy Pentland; David Lazer
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-17       Impact factor: 11.205

4.  Collective dynamics of 'small-world' networks.

Authors:  D J Watts; S H Strogatz
Journal:  Nature       Date:  1998-06-04       Impact factor: 49.962

5.  Tracking employment shocks using mobile phone data.

Authors:  Jameson L Toole; Yu-Ru Lin; Erich Muehlegger; Daniel Shoag; Marta C González; David Lazer
Journal:  J R Soc Interface       Date:  2015-06-06       Impact factor: 4.118

6.  Unique in the Crowd: The privacy bounds of human mobility.

Authors:  Yves-Alexandre de Montjoye; César A Hidalgo; Michel Verleysen; Vincent D Blondel
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

  6 in total
  3 in total

1.  Transactional information is remarkably revelatory.

Authors:  Susan Landau
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-17       Impact factor: 11.205

2.  Mobile phone data reveal the effects of violence on internal displacement in Afghanistan.

Authors:  Xiao Hui Tai; Shikhar Mehra; Joshua E Blumenstock
Journal:  Nat Hum Behav       Date:  2022-05-12

3.  Machine Learning Against Terrorism: How Big Data Collection and Analysis Influences the Privacy-Security Dilemma.

Authors:  H M Verhelst; A W Stannat; G Mecacci
Journal:  Sci Eng Ethics       Date:  2020-07-21       Impact factor: 3.525

  3 in total

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