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Volumn , Issue , 2012, Pages

On the feasibility of user de-anonymization from shared mobile sensor data

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; MEDICAL PROFESSIONALS; MHEALTH; MOBILE SENSORS; SENSING APPLICATIONS; SYSTEMATIC INVESTIGATIONS; USER ANONYMITY; USER BEHAVIORS;

EID: 84870538587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2389148.2389151     Document Type: Conference Paper
Times cited : (24)

References (19)
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  • 6
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    • Provable de-anonymization of large datasets with sparse dimensions
    • A. Datta, D. Sharma, A. Sinha. Provable De-Anonymization of Large Datasets with Sparse Dimensions. In POST '12.
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    • Datta, A.1    Sharma, D.2    Sinha, A.3
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    • Poolview: Stream privacy for grassroots participatory sensing
    • R. Ganti, N. Pham, Y. Tsai, T. Abdelzaher. Poolview: Stream Privacy for Grassroots Participatory Sensing. In Sensys '08.
    • Sensys '08
    • Ganti, R.1    Pham, N.2    Tsai, Y.3    Abdelzaher, T.4
  • 11
    • 80051993530 scopus 로고    scopus 로고
    • A large-scale gathering system for activity data with mobile sensors
    • Y. Hattori, S. Inoue, G. Hirakawa. A Large-scale Gathering System for Activity Data with Mobile Sensors. In ISWC '12.
    • ISWC '12
    • Hattori, Y.1    Inoue, S.2    Hirakawa, G.3
  • 12
    • 84870506181 scopus 로고    scopus 로고
    • Robust de-anonymization of large sparse datasets
    • A. Narayanan, V. Shmatikov. Robust De-Anonymization of Large Sparse Datasets. In S & P '08.
    • S & P '08
    • Narayanan, A.1    Shmatikov, V.2
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    • A Campbell evaluating the iPhone as a mobile platform for people-centric sensing applications
    • E. Miluzzo, J. Oakley, H. Lu, N. Lane, R. Peterson, A. Campbell Evaluating the iPhone as a Mobile Platform for People-centric Sensing Applications In UrbanSense'08.
    • UrbanSense'08
    • Miluzzo, E.1    Oakley, J.2    Lu, H.3    Lane, N.4    Peterson, R.5
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    • 84870487856 scopus 로고    scopus 로고
    • Privacy risks emerging from the adoption of innocuous wearable sensors in the mobile environment
    • A. Raij, A. Ghosh, S. Kumar, M. Srivastava. Privacy Risks Emerging from the Adoption of Innocuous Wearable Sensors in the Mobile Environment. In CHI '11
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    • A survey of computational location privacy
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    • Enabling large-scale human activity inference on smartphones using community similarity networks (CSN)
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    • To join or not to join: The illusion of privacy in social networks with mixed public and private user profiles
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.