Abstract
People-centric urban sensing systems (PC-USSs) refer to using human-carried mobile devices such as smartphones and tablets for urban-scale distributed data collection, analysis, and sharing to facilitate interaction between humans and their surrounding environments. A main obstacle to the widespread deployment and adoption of PC-USSs are the privacy concerns of participating individuals as well as the concerns about data integrity. To tackle this open challenge, this paper presents the design and evaluation of VPA, a novel peer-to-peer based solution to verifiable privacy-preserving data aggregation in PC-USSs. VPA achieves strong user privacy by letting each user exchange random shares of its datum with other peers, while at the same time ensures data integrity through a combination of Trusted Platform Module and homomorphic message authentication code. VPA 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. The efficacy and efficiency of VPA are confirmed by thorough analytical and simulation results.
| Original language | English (US) |
|---|---|
| Article number | 6559974 |
| Pages (from-to) | 268-278 |
| Number of pages | 11 |
| Journal | IEEE Journal on Selected Areas in Communications |
| Volume | 31 |
| Issue number | 9 |
| DOIs | |
| State | Published - 2013 |
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Keywords
- aggregation
- peer-to-peer
- People-centric urban sensing system (PC-USS)
- privacy
- security
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
Cite this
Verifiable privacy-preserving aggregation in people-centric urban sensing systems. / Zhang, Rui; Shi, Jing; Zhang, Yanchao; Zhang, Chi.
In: IEEE Journal on Selected Areas in Communications, Vol. 31, No. 9, 6559974, 2013, p. 268-278.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Verifiable privacy-preserving aggregation in people-centric urban sensing systems
AU - Zhang, Rui
AU - Shi, Jing
AU - Zhang, Yanchao
AU - Zhang, Chi
PY - 2013
Y1 - 2013
N2 - People-centric urban sensing systems (PC-USSs) refer to using human-carried mobile devices such as smartphones and tablets for urban-scale distributed data collection, analysis, and sharing to facilitate interaction between humans and their surrounding environments. A main obstacle to the widespread deployment and adoption of PC-USSs are the privacy concerns of participating individuals as well as the concerns about data integrity. To tackle this open challenge, this paper presents the design and evaluation of VPA, a novel peer-to-peer based solution to verifiable privacy-preserving data aggregation in PC-USSs. VPA achieves strong user privacy by letting each user exchange random shares of its datum with other peers, while at the same time ensures data integrity through a combination of Trusted Platform Module and homomorphic message authentication code. VPA 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. The efficacy and efficiency of VPA are confirmed by thorough analytical and simulation results.
AB - People-centric urban sensing systems (PC-USSs) refer to using human-carried mobile devices such as smartphones and tablets for urban-scale distributed data collection, analysis, and sharing to facilitate interaction between humans and their surrounding environments. A main obstacle to the widespread deployment and adoption of PC-USSs are the privacy concerns of participating individuals as well as the concerns about data integrity. To tackle this open challenge, this paper presents the design and evaluation of VPA, a novel peer-to-peer based solution to verifiable privacy-preserving data aggregation in PC-USSs. VPA achieves strong user privacy by letting each user exchange random shares of its datum with other peers, while at the same time ensures data integrity through a combination of Trusted Platform Module and homomorphic message authentication code. VPA 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. The efficacy and efficiency of VPA are confirmed by thorough analytical and simulation results.
KW - aggregation
KW - peer-to-peer
KW - People-centric urban sensing system (PC-USS)
KW - privacy
KW - security
UR - http://www.scopus.com/inward/record.url?scp=84883432332&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883432332&partnerID=8YFLogxK
U2 - 10.1109/JSAC.2013.SUP.0513024
DO - 10.1109/JSAC.2013.SUP.0513024
M3 - Article
VL - 31
SP - 268
EP - 278
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
SN - 0733-8716
IS - 9
M1 - 6559974
ER -