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A dynamic trust model in internet of things

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Abstract

Indicating trust or distrust of a node is a key issue in the trust management of IoT. However, there are some challenges for the management with anonymous nodes, inaccurate communication, etc. Due to huge number of nodes in IoT, one of the possible solutions is predicting trust and distrust values. In this paper, we propose a dynamic trust model based on direct and indirect trust computation, and the most important part of a model, trust prediction. The prediction method mainly depends on the combination of exponential smoothing and a Markov chain. We employ exponential smoothing to predict trustiness and a Markov chain to fix the deviation of the prediction. To test our scheme, we create a simulation to evaluate its performance and effectiveness. The simulation results are encouraging.

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Funding

This study was supported in part by National Natural Science Foundation of China (No. 61572157), and Guangdong Province Natural Science Foundation (No. 2016A030313660 and 2017A030313365), and Shenzhen Municipal Science and Technology Innovation Project (JCYJ20160608161351559, KQJSCX70726103044992, JCYJ20170811155158682). The work is also partially supported by a grant from the Department of Industrial and Systems Engineering, the Hong Kong Polytechnic University, China (H-ZG3K).

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Authors and Affiliations

  1. Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong Province, China

    Eric Ke Wang

  2. Shandong University of Science and Technology, Qingdao, Shandong Province, China

    Chien-Ming Chen

  3. Shenzhen Vetose Technology Co. Ltd, Shenzhen, Guangdong Province, China

    Dongning Zhao

  4. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hongkong, China

    Wai Hung Ip & Kai Leung Yung

Authors
  1. Eric Ke Wang
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  2. Chien-Ming Chen
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  3. Dongning Zhao
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  4. Wai Hung Ip
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  5. Kai Leung Yung
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Corresponding author

Correspondence to Chien-Ming Chen.

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Communicated by B. B. Gupta.

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Wang, E.K., Chen, CM., Zhao, D. et al. A dynamic trust model in internet of things. Soft Comput 24, 5773–5782 (2020). https://doi.org/10.1007/s00500-019-04319-2

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