We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Privacy Issues in Urban Computing using Mobile Crowdsensing

by Prajakta Joglekar, Vrushali Kulkarni
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 168 - Number 3
Year of Publication: 2017
Authors: Prajakta Joglekar, Vrushali Kulkarni
10.5120/ijca2017914350

Prajakta Joglekar, Vrushali Kulkarni . Privacy Issues in Urban Computing using Mobile Crowdsensing. International Journal of Computer Applications. 168, 3 ( Jun 2017), 23-26. DOI=10.5120/ijca2017914350

@article{ 10.5120/ijca2017914350,
author = { Prajakta Joglekar, Vrushali Kulkarni },
title = { Privacy Issues in Urban Computing using Mobile Crowdsensing },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 168 },
number = { 3 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume168/number3/27856-2017914350/ },
doi = { 10.5120/ijca2017914350 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:15:09.648838+05:30
%A Prajakta Joglekar
%A Vrushali Kulkarni
%T Privacy Issues in Urban Computing using Mobile Crowdsensing
%J International Journal of Computer Applications
%@ 0975-8887
%V 168
%N 3
%P 23-26
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Urban computing is an exciting area of research with huge amount of urban data being generated every day. Citizens however put their privacy at stake, while generously trying to share data with the society. Nowadays, smart phone is the most common and convenient method of data capture, which has given rise to an emerging paradigm called Mobile Crowdsensing. This work discusses the features of mobile crowdsensing and focuses on the privacy issues in this method of data capture. The work studies privacy threats arising from different sensors and analyses the requirements for privacy. The main contribution of this paper is detailed analysis of how different sensors in the smartphone can unknowingly compromise the user’s privacy and reveal his/her lifestyle and routine activities.

References
  1. Zheng et. al., "Urban Computing: Concepts, Methodologies, and Applications", ACM Transactions on Intelligent Systems and Technology, Vol. 5, No. 3, Article 38, 2014
  2. Kapadia et. al., "VirtualWalls: Protecting Digital Privacy in Pervasive Environments", Pervasive Computing: 5th International Conference, PERVASIVE 2007, Toronto, Canada, May 13-16, 2007. Proceedings
  3. Guo et. al., "Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm", ACM Computing Surveys, Vol. 48, No. 1, Article 7, 2015
  4. Krause et. al., "Toward Community Sensing", Proceedings of the 7th International Conference on Information Processing in Sensor Networks, Pages 481-492, isbn 978-0-7695-3157-1
  5. Christin, "Privacy in mobile participatory sensing: Current trends and future challenges", Journal of Sytems and Software, volume 116, pages 57-68, 2016
  6. Eric Hughes, "Cypherpunk's Manifesto", website:http://www.activism.net/cypherpunk/manifesto.html
  7. Christin et. al., "A Survey on Privacy in Mobile Participatory Sensing Applications", The journal of systems and software, vol. 84, no. 11, pages 1928-1946, Elsevier, 2011
  8. I.N. Athanasiadis et al., "NoiseTube: Measuring and mapping noise pollution with mobile phones", Information Technologies in Environmental Engineering: Proceedings of the 4th International ICSC Symposium Thessaloniki, Greece, pages 215-228, 2009
  9. Lane et al., “A survey of Mobile Phone Sensing”, Adhoc and Sensor Networks, IEEE Communication Magazine, September 2010
  10. Pournajaf et. al., "Participant Privacy in Mobile Crowd Sensing Task Management: A Survey of Methods and Challenges", SIGMOD, Vol. 44, No. 4, pages 23-34, 2015
  11. Cristofaro and Soriente, "Participatory Privacy: Enabling Privacy in Participatory Sensing", IEEE Network, vol. 27, no. 1, pages 32-36, 2013
  12. To, Ghinita and Shahabi, "A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing", Proceedings of VLDB Endowment, vol. 7, no. 10, pages 919-930, 2014
  13. Sweeney, "k-anonymity: a model for protecting privacy", Intl Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Vol 10, Issue 5, 2002
  14. Shin et. al., "Location Privacy for Mobile Crowd Sensing through Population Mapping", Sensors 2015, no. 7: 15285-15310
  15. Drosatos et. al., "Privacy-preserving computation of participatory noise maps in the cloud", The journal of systems and software, Vol. 92, Pages 170-183, 2014
  16. Gisdakis, Giannetsos and Papadimitratos, "SPPEAR: Security \& Privacy-Preserving Architecture for Mobile Crowd-Sensing Applications", Proceedings of the 2014 ACM Conference on Security and Privacy in Wireless \& Mobile Networks, Oxford, UK, pages 39-50, 2014
  17. Shebaro et. al., "Context-Based Access Control Systems for Mobile Devices", IEEE Transactions on Dependable and Secure Computing, vol. 12, pages 150-163, 2014
  18. Dimitriou, Krontiris and Sabouri, "PEPPeR: A querier’s Privacy Enhancing Protocol for PaRticipatory sensing", Security and Privacy in Mobile Information and Communication Systems: 4th International Conference, MobiSec 2012, Frankfurt Main, Germany, June 25-26, 2012
  19. Ganti et. al., "PoolView: Stream Privacy for Grassroots Participatory Sensing", Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, SenSys, pages 281-294, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

privacy mobile crowdsensing urban computing sensors participatory sensing.