A Blockchain-Based Trust Management Framework with Verifiable Interactions
Shantanu Pal, Ambrose Hill, Tahiry Rabehaja, Michael Hitchens

TL;DR
This paper introduces a blockchain-based framework for trust management that enables multiple independent trust providers to compute trust metrics using shared evidence, ensuring verifiable interactions without central authority.
Contribution
It presents a formal, distributed trust management framework utilizing blockchain to enable verifiable, evidence-based trust calculations by multiple providers without central oversight.
Findings
Blockchain implementation demonstrates practical performance.
Supports multiple trust metrics based on shared evidence.
Enables provably linked interactions without central authority.
Abstract
There has been tremendous interest in the development of formal trust models and metrics through the use of analytics (e.g., Belief Theory and Bayesian models), logics (e.g., Epistemic and Subjective Logic) and other mathematical models. The choice of trust metric will depend on context, circumstance and user requirements and there is no single best metric for use in all circumstances. Where different users require different trust metrics to be employed the trust score calculations should still be based on all available trust evidence. Trust is normally computed using past experiences but, in practice (especially in centralised systems), the validity and accuracy of these experiences are taken for granted. In this paper, we provide a formal framework and practical blockchain-based implementation that allows independent trust providers to implement different trust metrics in a…
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