BCTrust: a dual-network crowdsourcing framework enhancing validation through the behavioural consensus-based trust model

BCTrust: a dual-network crowdsourcing framework enhancing validation through the behavioural consensus-based trust model

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연구 분야: Verification

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학회: Cluster Computing

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초록

The dynamic field of blockchain technology presents crowdsourcing as a method to enhance participant trust and cooperation. This study explores a dual-network architecture that includes consortiums and public networks, aiming to enhance decentralised validation processes. Our focus is on the selection of validation nodes through the lens of transactional trust; the role of friendships and feedback in the development of social trust; the initiator's performance trust through good and bad transactions; and the validator's behaviour, which will produce reliable trust. This study provides important insights into improving the reliability and accuracy of blockchain systems via cooperative networks, highlighting the complex relationship between technological validation and social trust. The proposed framework enhances participants' trust and transforms the validation process through structured social interactions, behaviours, and feedback mechanisms. The findings pave the way for future exploration of the interactions between blockchain-based trust systems and crowdsourcing.

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