Open Access
Research Paper
Peer Reviewed

Paper Title

DATA TRUST FRAMEWORK USING BLOCKCHAIN TECHNOLOGY ADAPTIVE TRANSACTION VALIDATION

Article Identifiers

Registration ID: IJNRD_222568

Published ID: IJNRD2405728

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Keywords

DATA TRUST FRAMEWORK USING BLOCKCHAIN TECHNOLOGY ADAPTIVE TRANSACTION VALIDATION

Abstract

The primary impediment to widespread data exchange is trust. Many data owners are unable to share their data and data consumers are concerned about the quality of the shared data due to the absence of transparent infrastructures for implementing data trust. The paradigm of data trust makes data sharing easier by requiring data users to be open and honest about the sharing and reuse of their data. This study uses blockchain technology to propose an end-to-end paradigm for data trust, enabling more reliable data exchange. By evaluating input data sets, efficiently handling access control, and providing data provenance and activity monitoring, the framework fosters data quality. We present an evaluation model for data quality that incorporates endorsement, reputation, and condense criteria.By guaranteeing the reliability and quality of the data at the point of origin and the ethical and secure use of the data at the conclusion, the proposed data trust framework satisfies the concerns of both data owners and users. A thorough experimental analysis successfully illustrates the system that is being presented.

How To Cite (APA)

M.RAVINDAR, K. ASHRITHA, K.UDAY KUMAR, B.MADHUMITHA, & J.BRIJESH (May-2024). DATA TRUST FRAMEWORK USING BLOCKCHAIN TECHNOLOGY ADAPTIVE TRANSACTION VALIDATION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), h84-h89. https://ijnrd.org/papers/IJNRD2405728.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_222568

Published Paper Id: IJNRD2405728

Downloads: 000122254

Research Area: Engineering

Author Type: Indian Author

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405728.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405728

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Call For Paper - Volume 10 | Issue 12 | December 2025

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