More Web Proxy on the site http://driver.im/

research-article

Exploring end user preferences for location obfuscation, location-based services, and the value of location

Authors:

A.J. Bernheim Brush,

James ScottAuthors Info & Claims

UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computing

Pages 95 - 104

https://doi.org/10.1145/1864349.1864381

Published: 26 September 2010 Publication History

Abstract

Long-term personal GPS data is useful for many UbiComp services such as traffic monitoring and environmental impact assessment. However, inference attacks on such traces can reveal private information including home addresses and schedules. We asked 32 participants from 12 households to collect 2 months of GPS data, and showed it to them in visualizations. We explored if they understood how their individual privacy concerns mapped onto 5 location obfuscation schemes (which they largely did), which obfuscation schemes they were most comfortable with (Mixing, Deleting data near home, and Randomizing), how they monetarily valued their location data, and if they consented to share their data publicly. 21/32 gave consent to publish their data, though most households' members shared at different levels, which indicates a lack of awareness of privacy interrelationships. Grounded in real decisions about real data, our findings highlight the potential for end-user involvement in obfuscation of their own location data.

References

[1]

}}Anthony, D., Henderson, .T and Kotz D., Privacy in Location-Aware Computing Environments, IEEE Pervasive Computing, vol. 6, 2007, pp. 64--72.

Digital Library

[2]

}}Agapie, E. et al. Seeing Our Signals: Combining location traces and web-based models for personal discovery. Proc. Hotmobile 2008.

Digital Library

[3]

}}Barkhuus, L. and Dey, A. K. Location-Based Services for Mobile Telephony: a study of users' privacy concerns. Proc. Interact 2003, 207--212.

[4]

}}Beresford, A. and Stajano, F. Location Privacy in Pervasive Computing. IEEE Pervasive Computing, 2(1):46--55, 2003.

Digital Library

[5]

}}Chen, M., et al. Practical Metropolitan-scale Positioning for GSM Phones. Proc. UbiComp 2006, Springer-Verlag.

Digital Library

[6]

}}Colbert, M. A Diary Study of Rendezvousing: Implications for Position-aware Communications for Mobile Groups. Proc. GROUP 2001. ACM Press 15--23, 2001.

Digital Library

[7]

}}Consolvo, S., Smith, I. E., Matthews, T., LaMarca, A., Tabert, J. & Powledge, P. Location Disclosure to Social Relations: Why, When, & What People Want to Share. Proc CHI 2005, ACM Press, 81--90.

Digital Library

[8]

}}Cvrcek, D. et al., A Study on the Value of Location Privacy. Proc. Workshop on Privacy in the Electronic Society. 2006, ACM 109--118.

Digital Library

[9]

}}Danezis, G., Lewis, S. and Anderson, R. How Much is Location Privacy Worth? Proc. 4th Workshop on the Economics of Information Security. Harvard University, 2005.

[10]

}}Dourish, P. and Anderson, K. Collective Information Practice: Exploring Privacy and Security as Social and Cultural Phenomena. Human-Computer Interaction 21(3), 2009, 319--342.

Digital Library

[11]

}}1Duckham, M. and Kulik, L. Location privacy and location-aware computing, In Dynamic & Mobile GIS: Investigating Change in Space and Time, CRC Press, 2006, 34--51.

[12]

}}Eagle, N., Pentland, A. and Lazer, D. Inferring Social Network Structure using Mobile Phone Data. Proc. National Academy of Sciences 106(36), 2009, 15274--15278.

[13]

}}Golle, P. and Partridge, K. On the Anonymity of Home/Work Location Pairs. Proc. Pervasive 2009, 390--397.

Digital Library

[14]

}}Gruteser, M. and Grunwald, D., Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking. Proc. MobiSys 2003, ACM Press, 31--42.

Digital Library

[15]

}}Gruteser, M. and Hoh, B. On the Anonymity of Periodic Location Samples. Proc. 2nd International Conference on Security in Pervasive Computing. 2005, 179--192.

Digital Library

[16]

}}Hoh, B., et al., Preserving Privacy in GPS Traces via Uncertainty-Aware Path Cloaking. Proc. ACM CCS 2007.

Digital Library

[17]

}}Horvitz, E., Apacible, J., Sarin, R. and Liao, L. Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service, Proc. UAI-2005.

[18]

}}Iachello, G., et al., Control, Deception, and Communication: Evaluating the Deployment of a Location-Enhanced Messaging Service, Proc. UbiComp 2005, Springer-Verlag, 213--231.

Digital Library

[19]

}}Kostakos, V. Using Bluetooth to capture passenger trips on public transport buses. arXiv:0806.0874, 2008.

[20]

}}Krumm, J. Inference Attacks on Location Tracks. Proc. Pervasive 2007, Springer-Verlag, 127--143.

Digital Library

[21]

}}Krumm, J. A survey of computational location privacy. Personal and Ubiquitous Computing (2009) 13:6, pp. 391--399.

Digital Library

[22]

}}Krumm, J. And Horvitz, E. Predestination: Inferring Destinations from Partial Trajectories. Proc. UbiComp 2006, Springer-Verlag.

Digital Library

[23]

}}Langheinrich, M. Privacy in Ubiquitous Computing. In: Ubiqutious Computing Fundamentals, Edited by John Krumm, 96--156.

[24]

}}Liao, L., Patterson, D., Fox, D. and Kautz, H. Learning and Inferring Transportation Routines. Artificial Intelligence, 2007.

Digital Library

[25]

}}Mulder, Y., Danezis, G., Batina, L., Preneel. B., Identification via location-profiling in GSM networks. Proc. Workshop on Privacy in the Electronic Society 2008. 23--32.

Digital Library

[26]

}}Palen, L. and Dourish, P. Unpacking "privacy" for a networked world. Proc. CHI 2003, ACM Press, 129--136.

Digital Library

[27]

}}Scott, J., Krumm, J., Meyers, B., Brush, A. J., and Kapoor, A. Home Heating Using GPS-Based Arrival Prediction. Microsoft Research Technical Report MSR-TR-2010-19, Feb 2010.

[28]

}}Shilton, K., Burke, J., Estrin, D., Hansen, M., Govindan, R., & Kang, J. Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing. Proc. TPRC. September 2009.

[29]

}}Shklovski, I., Vertesi, J., Troshynski, E. & Dourish, P. (2009) The commodification of location: Dynamics of power in location-based systems. Proc. UbiComp 2009, ACM Press. 11--20.

Digital Library

[30]

}}Tsai, J., Kelley, P., Cranor, L., and Sadeh, N. Location-Sharing Technologies: Privacy Risks and Controls. Proc. TPRC 2009.

[31]

}}Tsai, J. Y., Kelley, P., Drielsma, P., Cranor, L. F., Hong, J., and Sadeh, N. 2009. Who's viewed you?: the impact of feedback in a mobile location-sharing application. Proc. CHI '09. ACM Press, 2003--2012.

Digital Library

Cited By

Islami LKitkowska AFischer-Hübner S(2024)Inter-regional Lens on the Privacy Preferences of Drivers for ITS and Future VANETsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641997(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641997
Caspari Gdos Santos Manuel JGago-Silva AJendryke M(2024)Employing discrete global grid systems for reproducible data obfuscationScientific Data10.1038/s41597-024-03354-511:1Online publication date: 17-May-2024
https://doi.org/10.1038/s41597-024-03354-5
Perez BMehrotra AMusolesi M(2024)MarcoPolo: A Zero-Permission Attack for Location Type Inference from the Magnetic Field Using Mobile DevicesCryptology and Network Security10.1007/978-981-97-8016-7_1(3-24)Online publication date: 29-Sep-2024
https://doi.org/10.1007/978-981-97-8016-7_1
Show More Cited By

Index Terms

Exploring end user preferences for location obfuscation, location-based services, and the value of location
1. Social and professional topics

Recommendations

Landscape-aware location-privacy protection in location-based services

Mobile network providers have developed a variety of location-based services (LBSs), such as friend-finder, point of interest services, emergency rescue and many other safety and security services. The protection of location-privacy has consequently ...
Location privacy protection with a semi-honest anonymizer in information centric networking
ICN '18: Proceedings of the 5th ACM Conference on Information-Centric Networking

Location-based services, which provide services based on locations of consumers' interests, are becoming essential for our daily lives. Since the location of a consumer's interest contains private information, several studies propose location privacy ...
Anonymizing user location and profile information for privacy-aware mobile services
LBSN '10: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks

Due to the growing use of mobile devices, location-based services have become popular. A location service often requires the user's exact location to provide appropriate services and this brings the risk of threats to privacy. In this paper, we propose ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computing

September 2010

366 pages

ISBN:9781605588438

DOI:10.1145/1864349

General Chairs:
Jakob E. Bardram
IT University of Copenhagen, Denmark
,
Marc Langheinrich
University of Lugano, Switzerland
,
Program Chairs:
Khai N. Truong
University of Toronto, Canada
,
Paddy Nixon
University College Dublin, Ireland

Copyright © 2010 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]

Sponsors

In-Cooperation

University of Florida: University of Florida

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

Ubicomp '10

Sponsor:

Ubicomp '10: The 2010 ACM Conference on Ubiquitous Computing

September 26 - 29, 2010

Copenhagen, Denmark

Acceptance Rates

UbiComp '10 Paper Acceptance Rate 39 of 202 submissions, 19%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

98
Total Citations
View Citations
1,697
Total Downloads

Downloads (Last 12 months)24
Downloads (Last 6 weeks)3

Reflects downloads up to 16 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Islami LKitkowska AFischer-Hübner S(2024)Inter-regional Lens on the Privacy Preferences of Drivers for ITS and Future VANETsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641997(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641997
Caspari Gdos Santos Manuel JGago-Silva AJendryke M(2024)Employing discrete global grid systems for reproducible data obfuscationScientific Data10.1038/s41597-024-03354-511:1Online publication date: 17-May-2024
https://doi.org/10.1038/s41597-024-03354-5
Perez BMehrotra AMusolesi M(2024)MarcoPolo: A Zero-Permission Attack for Location Type Inference from the Magnetic Field Using Mobile DevicesCryptology and Network Security10.1007/978-981-97-8016-7_1(3-24)Online publication date: 29-Sep-2024
https://doi.org/10.1007/978-981-97-8016-7_1
Xiao YLi ZQin YBai XGuan JLiao XXing LCalandrino JTroncoso C(2023)LalaineProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620299(1091-1108)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620299
Löbner SPape SBracamonte V(2023)User Acceptance Criteria for Privacy Preserving Machine Learning TechniquesProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3605004(1-8)Online publication date: 29-Aug-2023
https://dl.acm.org/doi/10.1145/3600160.3605004
Squicciarini ARajtmajer SGao YSemonsen JBelmonte AAgarwal P(2022)An Extended Ultimatum Game for Multi-Party Access Control in Social NetworksACM Transactions on the Web10.1145/355535116:3(1-23)Online publication date: 28-Sep-2022
https://dl.acm.org/doi/10.1145/3555351
Kulyk OBritton-Steele LPaja EDuckert MBarkhuus L(2022)#34;You have been in Close Contact with a Person Infected with COVID-19 and you may have been Infected#34;Proceedings of the ACM on Human-Computer Interaction10.1145/35467396:MHCI(1-27)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1145/3546739
Kumar ABraud TLee LHui PShen HZhuang YSmith JYang YCesar PMetze FPrabhakaran B(2021)TheophanyProceedings of the 29th ACM International Conference on Multimedia10.1145/3474085.3475507(2056-2064)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3474085.3475507
Herbert FSchmidbauer-Wolf GReuter C(2021)Who Should Get My Private Data in Which Case? Evidence in the WildProceedings of Mensch und Computer 202110.1145/3473856.3473879(281-293)Online publication date: 5-Sep-2021
https://dl.acm.org/doi/10.1145/3473856.3473879
Meftah LRouvoy RChrisment I(2021)Empowering mobile crowdsourcing apps with user privacy controlJournal of Parallel and Distributed Computing10.1016/j.jpdc.2020.07.011147(1-15)Online publication date: Jan-2021
https://doi.org/10.1016/j.jpdc.2020.07.011
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents