Data aggregation with end-to-end confidentiality and integrity for large-scale wireless sensor networks.
Journal article
Cui, Jie, Shao, Lili, Zhong, Hong, Xu, Yan and Liu, Lu 2017. Data aggregation with end-to-end confidentiality and integrity for large-scale wireless sensor networks. Peer-to-Peer Networking and Applications. https://doi.org/10.1007/s12083-017-0581-5
| Authors | Cui, Jie, Shao, Lili, Zhong, Hong, Xu, Yan and Liu, Lu |
|---|---|
| Abstract | In wireless sensor networks, data aggregation allows in-network processing, which leads to reduced packet transmissions and reduced redundancy, and thus is helpful to prolong the overall lifetime of wireless sensor networks. In current studies, Elliptic Curve ElGamal homomorphic encryption algorithm has been widely used to protect end-to-end data confidentiality. However, these works suffer from the expensive mapping function during decryption. If the aggregated results are huge, the base station has no way to gain the original data due to the hardness of the elliptic curve discrete logarithm problem. Therefore, these schemes are unsuitable for the large-scale WSNs. In this paper, we propose a secure energy-saving data aggregation scheme designed for the large-scale WSNs. We employ Okamoto-Uchiyama homomorphic encryption algorithm to protect end-to-end data confidentiality, use MAC to achieve in-network false data filtering, and utilize the homomorphic MAC algorithm to achieve end-to-end data integrity. Two popular IEEE 802.15.4-compliant wireless sensor network platforms, Tmote Sky and iMote 2 have been used to evaluate the efficiency and feasibility of our scheme. The results demonstrate that our scheme achieved better performance in reducing energy consumption. Moreover, system delay, especially decryption delay at the base station, has been reduced when compared to other state-of-art methods. |
| Keywords | Data aggregation; Confidentiality; Integrity; Homomorphic encryption |
| Year | 2017 |
| Journal | Peer-to-Peer Networking and Applications |
| Publisher | Springer |
| ISSN | 19366442 |
| 19366450 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/s12083-017-0581-5 |
| Web address (URL) | http://hdl.handle.net/10545/622100 |
| hdl:10545/622100 | |
| Publication dates | 17 Jul 2017 |
| Publication process dates | |
| Deposited | 30 Jan 2018, 12:50 |
| Rights | Archived with thanks to Peer-to-Peer Networking and Applications |
| Contributors | Anhui University and University of Derby |
| File | File Access Level Open |
| File | File Access Level Open |
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