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) |
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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 |
Keywords
- People-centric urban sensing system (PC-USS)
- aggregation
- peer-to-peer
- privacy
- security
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering