Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms

22nd Annual Network and Distributed System Security Symposium, NDSS 2015

Volumn , Issue , 2015, Pages

  Bilogrevic, Igor ^a   Huguenin, Kévin ^b   Mihaila, Stefan ^c   Shokri, Reza ^d   Hubaux, Jean Pierre ^c  

^a GOOGLE   (Switzerland)

^b LAAS CNRS   (France)

^c EPFL   (Switzerland)

^d UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; LOCATION; PRIVACY-PRESERVING TECHNIQUES; SEMANTICS;

GENERALISATION; GEOGRAPHICAL INFORMATION; MACHINE LEARNING METHODS; PERCEIVED UTILITY; PERSONAL INFORMATION; PRIVACY PROTECTION; PROTECTION MECHANISMS; SEMANTICS INFORMATION; USER MOTIVATION; USER STUDY;

MOTIVATION;

EID: 85099593014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.14722/ndss.2015.23032     Document Type: Conference Paper

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