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Can we quantify trust? Towards a trust-based resilient SIoT network

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Abstract

The emerging yet promising paradigm of the Social Internet of Things (SIoT) integrates the notion of the Internet of Things with human social networks. In SIoT, objects, i.e., things, have the capability to socialize with the other objects in the SIoT network and can establish their social network autonomously by modeling human behaviour. The notion of trust is imperative in realizing these characteristics of socialization in order to assess the reliability of autonomous collaboration. The perception of trust is evolving in the era of SIoT as an extension to traditional security triads in an attempt to offer secure and reliable services, and is considered as an imperative aspect of any SIoT system for minimizing the probable risk of autonomous decision-making. This research investigates the idea of trust quantification by employing trust measurement in terms of direct trust, indirect trust as a recommendation, and the degree of the SIoT relationships in terms of social similarities (community-of-interest, friendship, and co-work relationships). A weighted sum approach is subsequently employed to synthesize all the trust features in order to ascertain a single trust score. The experimental evaluation demonstrates the effectiveness of the proposed model in segregating the trustworthy and the untrustworthy objects, and illustrates the superior performance of the proposed trust model over state-of-the-art trust models.

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Notes

  1. https://www.statista.com/statistics/1101442/iot-number-of-connected-devices-worldwide/.

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Acknowledgements

Subhash Sagar’s research work has been funded via the Macquarie University’s Research Excellence Award (Allocation No. 2019050). Adnan Mahmood’s research has been supported under the auspices of the Macquarie University’s COVID Recovery Research Fellowship Grant 180420387. Quan Z. Sheng’s work has been partially supported via the Australian Research Council’s Future Fellowship Grant FT140101247 and Discovery Project Grant DP200102298.

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Authors and Affiliations

  1. School of Computing, Macquarie University, Sydney, NSW, 2109, Australia

    Subhash Sagar, Adnan Mahmood, Quan Z. Sheng & Munazza Zaib

  2. School of Computer Application and Technology, Galgotias University, Greater Noida, India

    Farhan Sufyan

  3. Victorian Institute of Technology, Sydney, Australia

    Subhash Sagar

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  1. Subhash Sagar
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  2. Adnan Mahmood
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Correspondence to Subhash Sagar.

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Sagar, S., Mahmood, A., Sheng, Q.Z. et al. Can we quantify trust? Towards a trust-based resilient SIoT network. Computing 106, 557–577 (2024). https://doi.org/10.1007/s00607-023-01236-z

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