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Credible nodes selection in mobile crowdsensing based on GAN

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Abstract

High-quality perception data is the basis of the operation of mobile crowdsensing platform. False data has a negative impact on the perception platform to draw wrong conclusions and cannot provide valuable help to service requesters. In order to solve this problem, we propose a trusted user selection framework based on generative adversarial network to select perceived users from the perspective of providing data, named PnGAN. The framework requires users to provide evaluation opinions on the current environment when uploading data, the evaluation opinion can not only reflect the current situation of the perceived environment, it can also be used as one of the data for user credibility evaluation. The analysis module in the framework processes the data uploaded by users, and apply the trust matrix to calculate the reputation value, determine user credibility based on reputation value. Experiments show that, compared with other algorithms for selecting trusted users, the average error rate of our method decreased by 30.62%, and the data quality improved by 15.32%.

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Data availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This present research work was supported by the National Natural Science Foundation of China (61403109, 61202458), the Specialized Research Fund for the Doctoral Program of Higher Education of China (20112303120007) and the Natural Science Foundation of Heilongjiang Province (LH2020F034).

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, 150080, China

    Jian Wang, Jia Liu & Jing Chen

  2. College of Computer Science and Information Engineering, Harbin Normal University, Harbin, 150025, China

    Guosheng Zhao

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  1. Jian Wang
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  2. Jia Liu
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  3. Jing Chen
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  4. Guosheng Zhao
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Correspondence to Jian Wang.

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No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.

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Wang, J., Liu, J., Chen, J. et al. Credible nodes selection in mobile crowdsensing based on GAN. Appl Intell 53, 22715–22727 (2023). https://doi.org/10.1007/s10489-023-04815-x

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