| Title | DeTRM: Decentralised Trust and Reputation Management for Blockchain-based Supply Chains |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Dharma Putra, Guntur, Kang, Changhoon, Kanhere, Salil S., Won-Ki Hong, James |
| Conference Name | 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) |
| Date Published | may |
| Keywords | blockchain, Fabrics, IoT, merging, Physical layer, pubcrawl, resilience, Resiliency, smart contracts, supply chain, supply chain management, supply chain security, Supply chains, Transmission line measurements, Trust and reputation management |
| Abstract | Blockchain has the potential to enhance supply chain management systems by providing stronger assurance in transparency and traceability of traded commodities. However, blockchain does not overcome the inherent issues of data trust in IoT enabled supply chains. Recent proposals attempt to tackle these issues by incorporating generic trust and reputation management methods, which do not entirely address the complex challenges of supply chain operations and suffers from significant drawbacks. In this paper, we propose DeTRM, a decentralised trust and reputation management solution for supply chains, which considers complex supply chain operations, such as splitting or merging of product lots, to provide a coherent trust management solution. We resolve data trust by correlating empirical data from adjacent sensor nodes, using which the authenticity of data can be assessed. We design a consortium blockchain, where smart contracts play a significant role in quantifying trustworthiness as a numerical score from different perspectives. A proof-of-concept implementation in Hyperledger Fabric shows that DeTRM is feasible and only incurs relatively small overheads compared to the baseline. |
| DOI | 10.1109/ICBC54727.2022.9805565 |
| Citation Key | dharma_putra_detrm_2022 |
DeTRM: Decentralised Trust and Reputation Management for Blockchain-based Supply Chains