research-article

Free access

Four billion little brothers?: privacy, mobile phones, and ubiquitous data collection

Author:

Katie ShiltonAuthors Info & Claims

Communications of the ACM, Volume 52, Issue 11

Pages 48 - 53

https://doi.org/10.1145/1592761.1592778

Published: 01 November 2009 Publication History

All formats PDF

Abstract

Participatory sensing technologies could improve our lives and our communities, but at what cost to our privacy?

References

[1]

Cáceres, R., Cox, L., Lim, H., Shakimov, A., Varshavsky, A. Virtual individual servers as privacy-preserving proxies for mobile devices. In Proceedings of First ACM SIGCOMM Workshop on Networking, Systems, and Applications on Mobile Handhelds (Barcelona, Spain, 2009).

Digital Library

[2]

Cuff, D., Hansen, M., Kang, J. Urban sensing: Out of the woods. Commun. ACM 51, 3 (Mar. 2008), 24--33.

Digital Library

[3]

Eagle, N. Behavioral inference across cultures: Using telephones as a cultural lens. IEEE Intelligent Systems 23 (2008), 62--64.

Digital Library

[4]

Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A., Ahn, G.S., Campbell, A.T. MetroSense Project: People-centric sensing at scale. Proceedings of the ACM Sensys World Sensor Web Workshop (Boulder, CO, 2006).

[5]

Google Health; https://www.google.com/health.

[6]

Iachello, G., Hong, J. 2007. End-user privacy in human-computer interaction. Foundations and Trends in Human-Computer Interaction 1 (2007), 1--137.

Digital Library

[7]

Kang, J. Privacy in cyberspace transactions. Stanford Law Review 50 (1998), 1193--1294.

[8]

Lam, M. Building a social networking future without Big Brother; http://suif.stanford.edu/%7Elam/lampomi-ws09.pdf.

[9]

Microsoft HealthVault; http://www.healthvault.com/.

[10]

Nissenbaum, H. Privacy as contextual integrity. Washington Law Review 79 (2004), 119--158.

[11]

Palen, L., Dourish, P. Unpacking "privacy" for a networked world. In Proceedings of 2003 SIGCHI Conference (Ft. Lauderdale, FL), 129--136.

Digital Library

[12]

Personal Privacy in an Information Society: The Report of The Privacy Protection Study Commission. 1977; http://epic.org/privacy/ppsc1977report/.

[13]

U.S. Department of Health, Education, and Welfare. Records, Computers, and the Rights of Citizens. MIT Press, Cambridge, MA, 1973.

[14]

Waldo, J., Lin, H. S., Millett, L. I. Engaging Privacy and Information Technology in a Digital Age. The National Academies Press, Washington, D.C., 2007.

Digital Library

[15]

Zittrain, J. The Future of the Internet---And How to Stop It. Yale University Press, New Haven and London, 2008.

Digital Library

Cited By

Shankar CSahyaja Chand Basha S(2024)Diving Into the Complexity of Social Networking: Moving Beyond Likes and Shares2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN)10.1109/ICPCSN62568.2024.00103(617-624)Online publication date: 3-May-2024
https://doi.org/10.1109/ICPCSN62568.2024.00103
Kapoor AKumar D(2024)Computation and communication efficient approach for federated learning based urban sensing applications against inference attacksPervasive and Mobile Computing10.1016/j.pmcj.2024.10187598(101875)Online publication date: Feb-2024
https://doi.org/10.1016/j.pmcj.2024.101875
Kamikubo RLee KKacorri H(2023)Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind PeopleProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581337(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581337
Show More Cited By

Index Terms

Four billion little brothers?: privacy, mobile phones, and ubiquitous data collection

Recommendations

"Little brothers watching you": raising awareness of data leaks on smartphones
SOUPS '13: Proceedings of the Ninth Symposium on Usable Privacy and Security

Today's smartphone applications expect users to make decisions about what information they are willing to share, but fail to provide sufficient feedback about which privacy-sensitive information is leaving the phone, as well as how frequently and with ...
Four Billion Little Brothers? Privacy, mobile phones, and ubiquitous data collection: Participatory sensing technologies could improve our lives and our communities, but at what cost to our privacy?
File Systems

They place calls, surf the Internet, and there are close to 4 billion of them in the world. Their built-in microphones, cameras, and location awareness can collect images, sound, and GPS data. Beyond chatting and texting, these features could make ...
From Nosy Little Brothers to Stranger-Danger: Children and Parents' Perception of Mobile Threats
IDC '16: Proceedings of the The 15th International Conference on Interaction Design and Children

The rise in mobile media use by children has heightened parents' concerns for their online safety. Through semi-structured interviews of parent-child dyads, we explore the perceived privacy and security threats faced by children aged seven to eleven ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Communications of the ACM

Communications of the ACM Volume 52, Issue 11

Scratch Programming for All

November 2009

135 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1592761

Issue’s Table of Contents

Copyright © 2009 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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2009

Published in CACM Volume 52, Issue 11

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

149
Total Citations
View Citations
29,777
Total Downloads

Downloads (Last 12 months)2,229
Downloads (Last 6 weeks)57

Reflects downloads up to 21 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Shankar CSahyaja Chand Basha S(2024)Diving Into the Complexity of Social Networking: Moving Beyond Likes and Shares2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN)10.1109/ICPCSN62568.2024.00103(617-624)Online publication date: 3-May-2024
https://doi.org/10.1109/ICPCSN62568.2024.00103
Kapoor AKumar D(2024)Computation and communication efficient approach for federated learning based urban sensing applications against inference attacksPervasive and Mobile Computing10.1016/j.pmcj.2024.10187598(101875)Online publication date: Feb-2024
https://doi.org/10.1016/j.pmcj.2024.101875
Kamikubo RLee KKacorri H(2023)Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind PeopleProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581337(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581337
Das Swain VKwon HSargolzaei SSaket BBin Morshed MTran KPatel DTian YPhilipose JCui YPlötz TDe Choudhury MAbowd G(2023)Leveraging WiFi network logs to infer student collocation and its relationship with academic performanceEPJ Data Science10.1140/epjds/s13688-023-00398-212:1Online publication date: 7-Jul-2023
https://doi.org/10.1140/epjds/s13688-023-00398-2
Chow PRoller DBoukhechba MShaffer KRitterband LReilley MLe TKunk PBauer TGioeli D(2023)Mobile sensing to advance tumor modeling in cancer patients: A conceptual frameworkInternet Interventions10.1016/j.invent.2023.10064434(100644)Online publication date: Dec-2023
https://doi.org/10.1016/j.invent.2023.100644
Kim MKim JKim S(2022)Impact of mobile messenger privacy policy on loyalty of usersJournal of Digital Contents Society10.9728/dcs.2022.23.7.124723:7(1247-1256)Online publication date: 31-Jul-2022
https://doi.org/10.9728/dcs.2022.23.7.1247
Kumar D(2022)FL-NoiseMap: A Federated Learning-based privacy-preserving Urban Noise-Pollution Measurement SystemNoise Mapping10.1515/noise-2022-01539:1(128-145)Online publication date: 25-Nov-2022
https://doi.org/10.1515/noise-2022-0153
Kazlouski AMarchioro TMarkatos E(2022)I just wanted to track my steps! Blocking unwanted traffic of Fitbit devicesProceedings of the 12th International Conference on the Internet of Things10.1145/3567445.3567457(96-103)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3567445.3567457
Bachmann MAcosta LGötz JReinhardt DDavid K(2022)Collision Avoidance for Vulnerable Road Users: Privacy versus Survival?NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS54207.2022.9789710(1-6)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1109/NOMS54207.2022.9789710
Kruzan KMeyerhoff JBiernesser CGoldstein TReddy MMohr D(2021)Centering Lived Experience in Developing Digital Interventions for Suicide and Self-injurious Behaviors: User-Centered Design ApproachJMIR Mental Health10.2196/313678:12(e31367)Online publication date: 24-Dec-2021
https://doi.org/10.2196/31367
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Digital Edition

View this article in digital edition.

Digital Edition

Magazine Site

View this article on the magazine site (external)

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 Article

Media

Figures

Other

Tables

View Issue’s Table of Contents