uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Privacy-aware probabilistic sampling for data collection in wireless sensor networks
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
2011 (English)In: Proc. 7th International Wireless Communications and Mobile Computing Conference, Piscataway, NJ: IEEE conference proceedings, 2011, 314-319 p.Conference paper, Published paper (Refereed)
Abstract [en]

The rising popularity of web services and their applications to sensor networks enables real-time data collection and queries by users. Unlike traditional periodic data collection, the traffic patterns generated from real-time data collection may expose the interests of users or the locations of unusual events to the attackers. To provide privacy in data collection, we propose a novel probabilistic sampling mechanism that can hide user queries and unusual events in the network, while supporting both routine and on-demand data reporting. Our goal is to prevent attackers from locating the unusual events and identifying interests of users by eavesdropping and analyzing the network traffic. In our probabilistic sampling scheme, the data are carefully reported at random times in order to mask the unusual events and user queries. In the meantime, our scheme can provide users with high data accuracy at minimized communication overheads. Extensive simulations have been conducted to evaluate the security strength, data accuracy and communication overheads of the proposed scheme.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE conference proceedings, 2011. 314-319 p.
Keyword [en]
Wireless sensor network, privacy, sampling, data collection
National Category
Computer Engineering Communication Systems
Identifiers
URN: urn:nbn:se:uu:diva-163108DOI: 10.1109/IWCMC.2011.5982552ISI: 000300570200054ISBN: 978-1-4244-9539-9 (print)OAI: oai:DiVA.org:uu-163108DiVA: diva2:462734
Conference
WiCOM 2011: 7th International Wireless Communications and Mobile Computing Conference, September 23-25,2011, Wuhan, China
Projects
WISENET
Available from: 2011-12-07 Created: 2011-12-07 Last updated: 2012-05-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Ngai, Edith C.-H.Rohner, Christian

Search in DiVA

By author/editor
Ngai, Edith C.-H.Rohner, Christian
By organisation
Computer Systems
Computer EngineeringCommunication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 602 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf