article

A survey on privacy in mobile participatory sensing applications

Authors:

Delphine Christin,

Andreas Reinhardt,

Salil S. Kanhere,

Matthias HollickAuthors Info & Claims

Journal of Systems and Software, Volume 84, Issue 11

Pages 1928 - 1946

https://doi.org/10.1016/j.jss.2011.06.073

Published: 01 November 2011 Publication History

Abstract

Abstract: The presence of multimodal sensors on current mobile phones enables a broad range of novel mobile applications. Environmental and user-centric sensor data of unprecedented quantity and quality can be captured and reported by a possible user base of billions of mobile phone subscribers worldwide. The strong focus on the collection of detailed sensor data may however compromise user privacy in various regards, e.g., by tracking a user's current location. In this survey, we identify the sensing modalities used in current participatory sensing applications, and assess the threats to user privacy when personal information is sensed and disclosed. We outline how privacy aspects are addressed in existing sensing applications, and determine the adequacy of the solutions under real-world conditions. Finally, we present countermeasures from related research fields, and discuss their applicability in participatory sensing scenarios. Based on our findings, we identify open issues and outline possible solutions to guarantee user privacy in participatory sensing.

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cover image Journal of Systems and Software

Journal of Systems and Software Volume 84, Issue 11

November, 2011

212 pages

ISSN:0164-1212

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Copyright © Elsevier Inc. © 2011.

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Elsevier Science Inc.

United States

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Published: 01 November 2011

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Fan LZhang SKong YYi XWang YXu XYu CLi HShi Y(2024)Evaluating the Privacy Valuation of Personal Data on SmartphonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785098:3(1-33)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678509
Bemmann FStoll HMayer S(2024)Privacy Slider: Fine-Grain Privacy Control for SmartphonesProceedings of the ACM on Human-Computer Interaction10.1145/36765198:MHCI(1-31)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676519
Li CLong SLiu HChoi YSekiya HLi Z(2024)Enhancing Sparse Mobile CrowdSensing With Manifold Optimization and Differential PrivacyIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.340766819(6070-6083)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1109/TIFS.2024.3407668
Dass PUjjwal SNovotny JZolotavkin YLaaroussi ZKöpsell S(2024)Addressing Privacy Concerns in Joint Communication and Sensing for 6G Networks: Challenges and ProspectsPrivacy Technologies and Policy10.1007/978-3-031-68024-3_5(87-111)Online publication date: 4-Sep-2024
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Bemmann F(2023)User-Centered Privacy to Improve User Quantification using Smartphone SensingProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3609737(1-4)Online publication date: 26-Sep-2023
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Li YSong HZhao YYao NWang N(2021)Anonymous Data Reporting Strategy with Dynamic Incentive Mechanism for Participatory SensingSecurity and Communication Networks10.1155/2021/55181682021Online publication date: 1-Jan-2021
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Xu FSheng VWang M(2021)A Unified Perspective for Disinformation Detection and Truth Discovery in Social Sensing: A SurveyACM Computing Surveys10.1145/347713855:1(1-33)Online publication date: 23-Nov-2021
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Tumedei GBoschi FPrandi CGomes LCalheno RAbreu RMa SNisi VNunes NEsteves A(2021)Promoting a Safe Return to University Campuses during the COVID-19 PandemicProceedings of the Conference on Information Technology for Social Good10.1145/3462203.3475911(145-150)Online publication date: 9-Sep-2021
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Li YZhao YGuo BZhang ZGeng QWang R(2021)An Extendable Layered Architecture for Collective Computing to Support Concurrent Multi-sourced Heterogeneous TasksMobile Networks and Applications10.1007/s11036-019-01331-626:2(884-898)Online publication date: 1-Apr-2021
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Parija SSwayamsiddha SSahu PSingh S(2021)Profile based location update for cellular network using mobile phone dataMicrosystem Technologies10.1007/s00542-019-04367-627:2(369-377)Online publication date: 1-Feb-2021
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