Journal article
ID list forwarding free confidentiality preserving data aggregation for wireless sensor networks
International Journal of Distributed Sensor Networks, Vol.2013, 241261
2013
Abstract
Wireless sensor networks (WSNs) are composed of sensor nodes with limited energy which is difficult to replenish. Data aggregation is considered to help reduce communication overhead with in-network processing, thus minimizing energy consumption and maximizing network lifetime. Meanwhile, it comes with challenges for data confidentiality protection. Many existing confidentiality preserving aggregation protocols have to transfer list of sensors' ID for base station to explicitly tell which sensor nodes have actually provided measurement. However, forwarding a large number of node IDs brings overwhelming extra communication overhead. In this paper, we propose provably secure aggregation scheme perturbation-based efficient confidentiality preserving protocol (PEC2P) that allows efficient aggregation of perturbed data without transferring any ID information. In general, environmental data is confined to a certain range; hence, we utilize this feature and design an algorithm to help powerful base station retrieve the ID of reporting nodes. We analyze the accuracy of PEC2P and conclude that base station can retrieve the sum of environmental data with an overwhelming probability. We also prove that PEC2P is CPA secure by security reduction. Experiment results demonstrate that PEC2P significantly reduces node congestion (especially for the root node) during aggregation process in comparison with the existing protocols. © 2013 Liehuang Zhu et al.
Details
- Title
- ID list forwarding free confidentiality preserving data aggregation for wireless sensor networks
- Authors
- L Zhu (Author) - Beijing Institute of Technology, ChinaZ Yang (Author) - Beijing Institute of Technology, ChinaMingzhong Wang (Author) - Beijing Institute of Technology, ChinaM Li (Author) - Beijing Institute of Technology, China
- Publication details
- International Journal of Distributed Sensor Networks, Vol.2013, 241261; 14
- Publisher
- Hindawi Publishing Corporation
- Date published
- 2013
- DOI
- 10.1155/2013/241261
- ISSN
- 1550-1329
- Copyright note
- Copyright © 2013 Liehuang Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Organisation Unit
- University of the Sunshine Coast, Queensland; USC Business School - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99449135602621
- Output Type
- Journal article
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- Web Of Science research areas
- Computer Science, Information Systems
- Telecommunications