Separable Public Key-Based Multidimensional Privacy-Preserving Data Aggregation Scheme for Wireless Sensor Networks

Mingzhong Wang; Yukun Han; Jingfeng Xue; Liehuang Zhu; A S M Touhidul Hasan; Yifan Xiao

doi:10.1166/sl.2013.3041

Back

Separable Public Key-Based Multidimensional Privacy-Preserving Data Aggregation Scheme for Wireless Sensor Networks

Journal article

Peer reviewed

Separable Public Key-Based Multidimensional Privacy-Preserving Data Aggregation Scheme for Wireless Sensor Networks

Mingzhong Wang, Yukun Han, Jingfeng Xue, Liehuang Zhu, A S M Touhidul Hasan and Yifan Xiao

Sensor Letters, Vol.11(9), pp.1639-1643

2013

DOI: https://doi.org/10.1166/sl.2013.3041

Files and links (1)

url

https://doi.org/10.1166/sl.2013.3041View

Published Version

Abstract

Analytical Chemistry

wireless sensor networks

data aggregation

data privacy

In wireless sensor networks, performing data aggregation while preserving data privacy is a challenging problem. Recently, public key homomorphism encryption schemes have been proved to be feasible to solve this problem. However, when processing multidimensional data aggregation, the communication overhead will be intolerable if each dimension data is encrypted individually. In this paper, we present a separable public key-based multidimensional privacy preserving data aggregation scheme to protect data confidentiality and improve energy efficiency by compressing multidimensional data into one dimension. The aggregated result is unpacked at the base station to recover the aggregated data of each dimension. To the best of our knowledge, our scheme is the first one that uses separable public key-based privacy homomorphism to reduce communication overhead of multidimensional data aggregation.

Details

Title: Separable Public Key-Based Multidimensional Privacy-Preserving Data Aggregation Scheme for Wireless Sensor Networks
Authors: Mingzhong Wang (Author) - Beijing Institute of Technology, China
Yukun Han (Author) - Beijing Institute of Technology, China
Jingfeng Xue (Author) - Beijing Institute of Technology, China
Liehuang Zhu (Author) - Beijing Institute of Technology, China
A S M Touhidul Hasan (Author) - Beijing Institute of Technology, China
Yifan Xiao (Author) - Beijing Institute of Technology, China
Publication details: Sensor Letters, Vol.11(9), pp.1639-1643
Publisher: American Scientific Publishers
Date published: 2013
DOI: 10.1166/sl.2013.3041
ISSN: 1546-198X
Organisation Unit: University of the Sunshine Coast, Queensland; USC Business School - Legacy; School of Science, Technology and Engineering
Language: English
Record Identifier: 99450097002621
Output Type: Journal article

Metrics

563 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Web Of Science research areas: Chemistry, Analytical; Electrochemistry; Instruments & Instrumentation; Physics, Applied