Research Output

FPDP: Flexible Privacy-preserving Data Publishing Scheme for Smart Agriculture

  Food security is a global concern. Benefit from the development of 5G, IoT is used in agriculture to help the farmers to maintain and improve productivity. It not only enables the customers, both at home and abroad, to become more informed about the products they buy, but also help the organizations and governments to assess the status of agricultural production. However, farmers are caught up in worried about the privacy leakage since these data would expose their income, lifestyle, etc. Considerable researches have well addressed the questions of confidentiality, authentication, integrity, and privacy. Unfortunately, to the best of our knowledge, the flexibility requirement of aggregation schemes have not been well solved. In essence, in real-life application, endowing the flexibility and privacy-preserving of aggregation, is imperative to secure and facilitate the development of the IoT environment. To fill this research gap, in this paper, a privacy-preserving data aggregation scheme with a flexibility property is proposed which uses ElGamal Cryptosystem. The analysis and performance show that the proposed scheme is secure, private and flexible.

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  • Date:

    18 August 2020

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  • Funders:

    National Natural Science Foundation of China; New Funder


Song, J., Zhong, Q., Su, C., Tan, Z., & Liu, Y. (2021). FPDP: Flexible Privacy-preserving Data Publishing Scheme for Smart Agriculture. IEEE Sensors Journal, 21(16), 17430-17438.



Smart Agriculture; Data Aggregation; Data Privacy; Flexibility; Data Publishing

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