PriSense: Privacy-preserving data aggregation in people-centric urban sensing systems

Jing Shi, Rui Zhang, Yunzhong Liu, Yanchao Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

150 Citations (Scopus)

Abstract

People-centric urban sensing is a new paradigm gaining popularity. A main obstacle to its widespread deployment and adoption are the privacy concerns of participating individuals. To tackle this open challenge, this paper presents the design and evaluation of PriSense, a novel solution to privacy-preserving data aggregation in people-centric urban sensing systems. PriSense is based on the concept of data slicing and mixing and can support a wide range of statistical additive and non-additive aggregation functions such as Sum, Average, Variance, Count, Max/Min, Median, Histogram, and Percentile with accurate aggregation results. PriSense can support strong user privacy against a tunable threshold number of colluding users and aggregation servers. The efficacy and efficiency of PriSense are confirmed by thorough analytical and simulation results.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE INFOCOM
DOIs
StatePublished - 2010
Externally publishedYes
EventIEEE INFOCOM 2010 - San Diego, CA, United States
Duration: Mar 14 2010Mar 19 2010

Other

OtherIEEE INFOCOM 2010
CountryUnited States
CitySan Diego, CA
Period3/14/103/19/10

Fingerprint

Data privacy
Agglomeration
Servers

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

PriSense : Privacy-preserving data aggregation in people-centric urban sensing systems. / Shi, Jing; Zhang, Rui; Liu, Yunzhong; Zhang, Yanchao.

Proceedings - IEEE INFOCOM. 2010. 5462147.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shi, J, Zhang, R, Liu, Y & Zhang, Y 2010, PriSense: Privacy-preserving data aggregation in people-centric urban sensing systems. in Proceedings - IEEE INFOCOM., 5462147, IEEE INFOCOM 2010, San Diego, CA, United States, 3/14/10. https://doi.org/10.1109/INFCOM.2010.5462147
Shi, Jing ; Zhang, Rui ; Liu, Yunzhong ; Zhang, Yanchao. / PriSense : Privacy-preserving data aggregation in people-centric urban sensing systems. Proceedings - IEEE INFOCOM. 2010.
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