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A Multi-data Collaborative Encryption in Concealed Data Aggregation for WSNs

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Security and Privacy in Digital Economy (SPDE 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1268))

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Abstract

With the rapid development of the collection devices connected to the Internet of Things, data security has become more important. The sensor node located at the original location of the sensing data is often at the risk of various attacks, because it not only is a data source but also has limited computing power and shortage of energy. As a way to effectively improve the existing problems, secure data aggregation can reduce the energy of wireless sensor network transmission, and how to ensure network security has become a hot spot in research. Through analysis, a concealed data aggregation method suitable for multi-data collaborative encryption is proposed. Its main advantage is that it can simultaneously encrypt n kinds of heterogeneous data, and the base station at the receiving end can completely reconstruct it and separate it effectively and correctly. This method encrypts different types of data at the bottom node at one time, the calculation overhead and resource occupation are relatively small. It is suitable for resource-constrained nodes to ensure the safe use of data. Through simulation experiments and comparison with RCDA-HOMO and Sham Share, the results show that the proposed method is in a reasonable range of energy consumption and processing time on the basis of ensuring the encryption of multiple types of data. It is an effective multi-data aggregation scheme, which has the value of popularization and application on the nodes with limited computing power and resources.

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Acknowledgements

This work was supported by National Key R&D Program of China (2018YFB1800302), Natural Science Foundation of China (61702013), Beijing Natural Science Foundation (KZ201810009011), Science and Technology Innovation Project of North China University of Technology (19XN108).

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Authors and Affiliations

  1. School of Information Science and Technology, North China University of Technology, Beijing, 100144, China

    Li Ma, Jia Geng, Dongchao Ma, Yingxun Fu & Ailing Xiao

Authors
  1. Li Ma
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  2. Jia Geng
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  3. Dongchao Ma
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  4. Yingxun Fu
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  5. Ailing Xiao
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Corresponding author

Correspondence to Jia Geng .

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Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Shui Yu

  2. IBM Zurich Research Laboratory, Zurich, Switzerland

    Peter Mueller

  3. Ningbo University, Ningbo, China

    Jiangbo Qian

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Ma, L., Geng, J., Ma, D., Fu, Y., Xiao, A. (2020). A Multi-data Collaborative Encryption in Concealed Data Aggregation for WSNs. In: Yu, S., Mueller, P., Qian, J. (eds) Security and Privacy in Digital Economy. SPDE 2020. Communications in Computer and Information Science, vol 1268. Springer, Singapore. https://doi.org/10.1007/978-981-15-9129-7_27

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  • DOI: https://doi.org/10.1007/978-981-15-9129-7_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9128-0

  • Online ISBN: 978-981-15-9129-7

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