2021/06/09 by Shantanu Pal, Ambrose Hill, Pal, Shantanu +5
Computer Science · Social Sciences · #Access Control and Trust #Blockchain Technology Applications and Security #Cloud Data Security Solutions #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2106.04885
openalex publication_date 2021/06/09 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
There has been tremendous interest in the development of formal trust models\nand metrics through the use of analytics (e.g., Belief Theory and Bayesian\nmodels), logics (e.g., Epistemic and Subjective Logic) and other mathematical\nmodels. The choice of trust metric will depend on context, circumstance and\nuser requirements and there is no single best metric for use in all\ncircumstances. Where different users require different trust metrics to be\nemployed the trust score calculations should still be based on all available\ntrust evidence. Trust is normally computed using past experiences but, in\npractice (especially in centralised systems), the validity and accuracy of\nthese experiences are taken for granted. In this paper, we provide a formal\nframework and practical blockchain-based implementation that allows independent\ntrust providers to implement different trust metrics in a distributed manner\nwhile still allowing all trust providers to base their calculations on a common\nset of trust evidence. Further, our design allows experiences to be provably\nlinked to interactions without the need for a central authority. This leads to\nthe notion of evidence-based trust with provable interactions. Leveraging\nblockchain allows the trust providers to offer their services in a competitive\nmanner, charging fees while users are provided with payments for recording\nexperiences. Performance details of the blockchain implementation are provided.\n