Abstract
Trusted data circulation requires reliable valuation mechanisms to ensure fair and transparent data exchange in modern information ecosystems. The absence of systematic data valuation methods creates barriers to establishing trust and fairness in data transactions across various domains, including healthcare, finance, and smart cities. This research addresses these challenges by developing an information entropy driven valuation framework for textual data that integrates information content assessment with trust evaluation mechanisms. Our approach provides comprehensive data value measurement through multi-dimensional entropy calculations and systematic trust scoring that evaluates consistency, verifiability, and integrity. Experimental validation through progressive data analysis demonstrates strong correlations between our valuation metrics and practical data utility measures, establishing the effectiveness of entropy-based approaches for trusted textual data valuation in circulation systems.
| Original language | English |
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| Title of host publication | IEEE International Conference on Blockchain Technology and Information Security (ICBCTIS) |
| Publication status | Accepted/In press - 29 Aug 2025 |
