research-article

Free access

The loss of location privacy in the cellular age

Author:

Stephen B. WickerAuthors Info & Claims

Communications of the ACM, Volume 55, Issue 8

Pages 60 - 68

https://doi.org/10.1145/2240236.2240255

Published: 01 August 2012 Publication History

All formats PDF

Abstract

How to have the best of location-based services while avoiding the growing threat to personal privacy.

References

[1]

Agnew, J.A. Place and Politics: The Geographical Mediation of State and Society. Unwin Hyman, London, 1987.

Google Scholar

[2]

Agre, P.E. Computation and Human Experience. Cambridge University Press, Cambridge, U.K., 1997.

Digital Library

Google Scholar

[3]

Apple. Q&A on Location Data; http://www.apple.com/pr/library/2011/04/27Apple-Q-A-on-Location-Data.html

Google Scholar

[4]

Bilton, N. 3G Apple iOS devices are storing users location data. The New York Times (Apr. 20, 2011).

Google Scholar

[5]

Blumenthal, J., Reichenbach, F., and Timmermann, D. Position estimation in ad hoc wireless sensor networks with low complexity. In Proceedings of the Second Joint Workshop on Positioning, Navigation, and Communication and First Ultra-Wideband Expert Talk (Hannover, Germany, Mar. 2005), 41--49.

Google Scholar

[6]

Clarke, R.A. Information technology and dataveillance. Commun. ACM 31, 5 (May 1988), 498--512.

Digital Library

Google Scholar

[7]

Cresswell, T. Place: A Short Introduction. Wiley-Blackwell, Malden, MA, 2004.

Google Scholar

[8]

Deleuze, G. Postscript on the societies of control. October 59 (Winter 1992), 3--7.

Google Scholar

[9]

Djuknic, G.M., and Richton, R.E. Geolocation and assisted GPS. Computer 34 (Feb. 2001), 123--125.

Digital Library

Google Scholar

[10]

Durrell, L. Balthazaar. Faber & Faber, London, 1960.

Google Scholar

[11]

Evfimievski, A., Srikant, R., Agrawal, R., and Gehrke, J. Privacy-preserving mining of association rules. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Edmonton, July 23--26). ACM Press, New York, 2002, 217--228.

Digital Library

Google Scholar

[12]

Federal Communications Commission. Notice of Proposed Rulemaking Docket 94--102. Washington, D.C., 1994.

Google Scholar

[13]

Ghinita, G., Kalnis, P., Khoshgozaran, A., Shahabi, C., and Tan, K.-L. Private queries in location-based services: Anonymizers are not necessary. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Vancouver, B.C., June 9--12). ACM Press, New York, 2008, 121--132.

Digital Library

Google Scholar

[14]

Gruteser, M. and Grunwald, D. Anonymous usage of location-based services through spatial and temporal cloaking. In Proceedings of the First International Conference on Mobile Systems, Applications, and Services (San Francisco, May 5--8). ACM Press, New York, 2003, 31--42.

Digital Library

Google Scholar

[15]

Hansell, S. AOL removes search data on vast group of Web users. The New York Times (Aug. 8, 2006).

Google Scholar

[16]

Kaplan, E.D. Understanding GPS Principles and Applications. Artech House Publishers, Boston, 1996.

Google Scholar

[17]

Khoshgozaran, A. and Shahabi, C. Blind evaluation of nearest-neighbor queries using space transformation to preserve location privacy. In Proceedings of the 10th International Symposium on Spatial and Temporal Databases (Boston, July 16--18). springer-Verlag, Berlin, 2007, 239--257.

Digital Library

Google Scholar

[18]

Kifer, D. and Machanavajjhala, A. No free lunch in data privacy. In Proceedings of the SIGMOD 2011 International Conference on Management of Data (Athens, June 12--16). ACM Press, New York, 2011, 193--204.

Digital Library

Google Scholar

[19]

Malpas, J. Place and Experience: A Philosophical Topography. Cambridge University Press, Cambridge, U.K., 2007.

Google Scholar

[20]

Morrissey, S. iOS Forensic Analysis for iPhone, iPad, and iPod Touch. Apress, New York, 2010.

Digital Library

Google Scholar

[21]

Narayanan, A. and Shmatikov, V. Robust de-anonymization of large sparse datasets. In Proceedings of the 2008 IEEE Symposium on Security and Privacy (Oakland, CA, May 18--21). IEEE Computer Society Press, Washington, D.C., 2008, 111--125.

Digital Library

Google Scholar

[22]

Netflix Prize Rules; http://www.netflixprize.com//rules

Google Scholar

[23]

Relph, E. Place and Placelessness. Routledge Kegan & Paul, London, 1976.

Google Scholar

[24]

Shannon, C. Communication theory of secrecy systems. Bell System Technical Journal 28, 4 (Oct. 1949), 656--715.

Crossref

Google Scholar

[25]

Sweeney, L. k-anonymity: A model for protecting privacy. International Journal Uncertainty, Fuzziness and Knowledge-Based Systems 10, 5 (Oct. 2002), 557--570.

Digital Library

Google Scholar

[26]

Tribble, G.B. Testimony of Dr. Guy "Bud" Tribble, Vice President for Software Technology, Apple Inc.; http://judiciary.senate.gov/pdf/11-5-10%20Tribble%20Testimony.pdf

Google Scholar

[27]

Wicker, S.B. Cellular telephony and the question of privacy. Commun. ACM 54, 7 (July 2011), 88--98.

Digital Library

Google Scholar

[28]

Williamson, J. Decoding Advertisements: Ideology and Meaning in Advertising. Marion Boyars Publishers Ltd., London, 1978.

Google Scholar

[29]

Yoshida, J. Enhanced 911 service spurs integration of GPs into cell phones. EE Times (Aug. 16 1999); http://www.eetimes.com/electronics-news/4038635/Enhanced-911-service-spurs-integration-of-GPs-into-cell-phones

Google Scholar

[30]

Zang, H. and Bolot, J. C. Anonymization of location data does not work: A large-scale measurement study. In Proceedings of the 17^th Annual International Conference on Mobile Computing and Networking (Las Vegas, Sept. 19--23). ACM Press, New York, 2011, 145--156.

Digital Library

Google Scholar

Cited By

View all

Zhou QZhang PGu HLu TGu N(2024)Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference PredictionACM Transactions on Information Systems10.1145/369783243:1(1-28)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1145/3697832
Huang PGönültaş EArnold MSrinath KHoydis JStuder C(2024)Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning SystemsIEEE Transactions on Wireless Communications10.1109/TWC.2024.335528823:8_Part_1(8883-8895)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TWC.2024.3355288
Khatib EAlvarez-Merino CLuo-Chen HMoreno R(2023)Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and RequirementsIEEE Access10.1109/ACCESS.2023.324077511(10053-10091)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3240775
Show More Cited By

Index Terms

The loss of location privacy in the cellular age

Recommendations

Protecting location privacy using location semantics
KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

As the use of mobile devices increases, a location-based service (LBS) becomes increasingly popular because it provides more convenient context-aware services. However, LBS introduces problematic issues for location privacy due to the nature of the ...
Location privacy: going beyond K-anonymity, cloaking and anonymizers

With many location-based services, it is implicitly assumed that the location server receives actual users locations to respond to their spatial queries. Consequently, information customized to their locations, such as nearest points of interest can be ...
Location Privacy Protection Scheme Based on Location Services
ICCNS '19: Proceedings of the 2019 9th International Conference on Communication and Network Security

Location-based services (LBS) in the mobile internet applications are very important and provide a great convenience. However, at the same time it brings the threat of privacy leak. For location services, a location privacy protection scheme is proposed,...

Comments

Information & Contributors

Information

Published In

Communications of the ACM Volume 55, Issue 8

August 2012

105 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2240236

Issue’s Table of Contents

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2012

Published in CACM Volume 55, Issue 8

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Popular
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

65
Total Citations
View Citations
3,211
Total Downloads

Downloads (Last 12 months)626
Downloads (Last 6 weeks)50

Reflects downloads up to 04 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zhou QZhang PGu HLu TGu N(2024)Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference PredictionACM Transactions on Information Systems10.1145/369783243:1(1-28)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1145/3697832
Huang PGönültaş EArnold MSrinath KHoydis JStuder C(2024)Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning SystemsIEEE Transactions on Wireless Communications10.1109/TWC.2024.335528823:8_Part_1(8883-8895)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TWC.2024.3355288
Khatib EAlvarez-Merino CLuo-Chen HMoreno R(2023)Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and RequirementsIEEE Access10.1109/ACCESS.2023.324077511(10053-10091)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3240775
Du CYu HXiao YLou WWang CGazda RHou Y(2022)Mobile Tracking in 5G and Beyond Networks: Problems, Challenges, and New Directions2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS56207.2022.00067(426-434)Online publication date: Oct-2022
https://doi.org/10.1109/MASS56207.2022.00067
Sun SMa SSong JYue WLin XMa T(2022)Experiments and Analyses of Anonymization Mechanisms for Trajectory Data PublishingJournal of Computer Science and Technology10.1007/s11390-022-2409-x37:5(1026-1048)Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1007/s11390-022-2409-x
Zhang HMcKenzie G(2022)Rehumanize geoprivacy: from disclosure control to human perceptionGeoJournal10.1007/s10708-022-10598-488:1(189-208)Online publication date: 16-Feb-2022
https://doi.org/10.1007/s10708-022-10598-4
Wang XSong NZhou HCheng H(2022)The representation of argumentation in scientific papersJournal of the Association for Information Science and Technology10.1002/asi.2459073:6(863-878)Online publication date: 26-Apr-2022
https://dl.acm.org/doi/10.1002/asi.24590
Zheng HGoh DLee ELee CTheng Y(2022)Understanding the effects of message cues on COVID‐19 information sharing on TwitterJournal of the Association for Information Science and Technology10.1002/asi.2458773:6(847-862)Online publication date: 26-Apr-2022
https://dl.acm.org/doi/10.1002/asi.24587
Ghosh ISingh V(2022)“Not all my friends are friends”Journal of the Association for Information Science and Technology10.1002/asi.2458073:6(797-810)Online publication date: 26-Apr-2022
https://dl.acm.org/doi/10.1002/asi.24580
Liu MZhou XSun M(2021)Bilateral Privacy-Utility Tradeoff in Spectrum Sharing Systems: A Game-Theoretic ApproachIEEE Transactions on Wireless Communications10.1109/TWC.2021.306592720:8(5144-5158)Online publication date: Aug-2021
https://doi.org/10.1109/TWC.2021.3065927
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Digital Edition

View this article in digital edition.

Digital Edition

Magazine Site

View this article on the magazine site (external)

Magazine Site

Login options

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

Abstract

References

Cited By

Index Terms

Recommendations

Protecting location privacy using location semantics

Location privacy: going beyond K-anonymity, cloaking and anonymizers

Location Privacy Protection Scheme Based on Location Services

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Digital Edition

Magazine Site

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations