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    Data aggregation with end-to-end confidentiality and integrity for large-scale wireless sensor networks.

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    Authors
    Cui, Jie cc
    Shao, Lili
    Zhong, Hong cc
    Xu, Yan
    Liu, Lu cc
    Affiliation
    Anhui University
    University of Derby
    Issue Date
    2017-07-17
    
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    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.
    Citation
    Cui, J. et al (2017) 'Data aggregation with end-to-end confidentiality and integrity for large-scale wireless sensor networks', Peer-to-Peer Networking and Applications, DOI: 10.1007/s12083-017-0581-5
    Publisher
    Springer
    Journal
    Peer-to-Peer Networking and Applications
    URI
    http://hdl.handle.net/10545/622100
    DOI
    10.1007/s12083-017-0581-5
    Additional Links
    http://link.springer.com/10.1007/s12083-017-0581-5
    Type
    Article
    Language
    en
    ISSN
    19366442
    EISSN
    19366450
    ae974a485f413a2113503eed53cd6c53
    10.1007/s12083-017-0581-5
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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