research-article

SnapMe if you can: privacy threats of other peoples' geo-tagged media and what we can do about it

Authors:

Benjamin Henne,

Christian Szongott,

Matthew SmithAuthors Info & Claims

WiSec '13: Proceedings of the sixth ACM conference on Security and privacy in wireless and mobile networks

Pages 95 - 106

https://doi.org/10.1145/2462096.2462113

Published: 17 April 2013 Publication History

Abstract

The amount of media uploaded to the Web is still rapidly expanding. The ease-of-use of modern smartphones in combination with the proliferation of high-speed mobile networks facilitates a culture of spontaneous and often carefree sharing of user-generated content, especially photos and videos. An increasing number of modern devices are capable of embedding location information and other metadata into created content. However, currently there is not much user awareness of possible privacy consequences of such data. While in most cases users upload their own media consciously, the flood of media uploaded by others is so huge that it is almost impossible for users to stay aware of all media that might be relevant to them. Current social network services and photo-sharing sites mainly focus on the privacy of users' own media in terms of access control, but offer few possibilities to deal with privacy implications created by other users' actions. We conducted an online survey with 414 participants. The results show that users would like to get more information about media shared by others. Based on an analysis of prevalent sharing services like Flickr, Facebook, or Google+ and an analysis of metadata of three different sets of crawled photos, we discuss privacy implications and potentials of the emerging trend of (geo-)tagged media. Finally, we present a novel concept on how location information can actually help users to control the flood of potentially infringing or interesting media.

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Cited By

Cai KZhang JHong ZShand WWang GZhang DChi JTian YBaeza-Yates RBonchi F(2024)Where Have You Been? A Study of Privacy Risk for Point-of-Interest RecommendationProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671758(175-186)Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1145/3637528.3671758
Bhardwaj DPonticello ATomar SDabrowski AKrombholz K(2024)In Focus, Out of Privacy: The Wearer's Perspective on the Privacy Dilemma of Camera GlassesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642242(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642242
Amon MNecaise AKartvelishvili NWilliams ASolihin YKapadia A(2023)Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social MediaACM Transactions on Computer-Human Interaction10.1145/357701430:3(1-32)Online publication date: 2-Jan-2023
https://dl.acm.org/doi/10.1145/3577014
Show More Cited By

Index Terms

SnapMe if you can: privacy threats of other peoples' geo-tagged media and what we can do about it
1. Security and privacy
  1. Human and societal aspects of security and privacy
2. Social and professional topics
  1. Computing / technology policy
    1. Privacy policies

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Published In

cover image ACM Conferences

WiSec '13: Proceedings of the sixth ACM conference on Security and privacy in wireless and mobile networks

April 2013

230 pages

ISBN:9781450319980

DOI:10.1145/2462096

General Chair:
Levente Buttyán
Budapest University of Technology and Economics, Hungary
,
Program Chairs:
Ahmad-Reza Sadeghi
Technische Universitaet Darmstadt, Fraunhofer SIT, Intel-CRISC, Germany
,
Marco Gruteser
Rutgers University, USA

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSAC: ACM Special Interest Group on Security, Audit, and Control

In-Cooperation

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 April 2013

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WISEC'13

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SIGSAC

WISEC'13: Sixth ACM Conference on Security and Privacy in Wireless and Mobile Networks

April 17 - 19, 2013

Budapest, Hungary

Acceptance Rates

WiSec '13 Paper Acceptance Rate 26 of 70 submissions, 37%;

Overall Acceptance Rate 98 of 338 submissions, 29%

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Cited By

Cai KZhang JHong ZShand WWang GZhang DChi JTian YBaeza-Yates RBonchi F(2024)Where Have You Been? A Study of Privacy Risk for Point-of-Interest RecommendationProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671758(175-186)Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1145/3637528.3671758
Bhardwaj DPonticello ATomar SDabrowski AKrombholz K(2024)In Focus, Out of Privacy: The Wearer's Perspective on the Privacy Dilemma of Camera GlassesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642242(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642242
Amon MNecaise AKartvelishvili NWilliams ASolihin YKapadia A(2023)Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social MediaACM Transactions on Computer-Human Interaction10.1145/357701430:3(1-32)Online publication date: 2-Jan-2023
https://dl.acm.org/doi/10.1145/3577014
Washburn RTanni TSolihin YKapadia AAmon M(2023)Bottom-up psychosocial interventions for interdependent privacy: Effectiveness based on individual and content differencesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581117(1-20)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581117
Morris JNewman SPalaniappan KFan JLin D(2023)“Do You Know You Are Tracked by Photos That You Didn’t Take”: Large-Scale Location-Aware Multi-Party Image Privacy ProtectionIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2021.313223020:1(301-312)Online publication date: 1-Jan-2023
https://doi.org/10.1109/TDSC.2021.3132230
Pratik RSendhil R(2023)Privacy Protection Against Reverse Image Search2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)10.1109/ICAIS56108.2023.10073803(1207-1214)Online publication date: 2-Feb-2023
https://doi.org/10.1109/ICAIS56108.2023.10073803
Zheng TZhou TLiu QWu KCai ZYin HStavrou ACremers CShi E(2022)Characterizing and Detecting Non-Consensual Photo Sharing on Social NetworksProceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security10.1145/3548606.3560571(3209-3222)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3548606.3560571
Li YCaine K(2022)Obfuscation Remedies Harms Arising from Content Flagging of PhotosProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517520(1-25)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517520
Cherubini MSalehzadeh Niksirat KBoldi MKeopraseuth HSuch JHuguenin K(2021)When Forcing Collaboration is the Most Sensible ChoiceProceedings of the ACM on Human-Computer Interaction10.1145/34491275:CSCW1(1-36)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449127
Bradbury MJhumka AMaple C(2021)A Spatial Source Location Privacy-aware Duty Cycle for Internet of Things Sensor NetworksACM Transactions on Internet of Things10.1145/34303792:1(1-32)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1145/3430379
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