Abstract :

The Rapid Growth Of Digital Services Has Increased The Need For Secure And Efficient Data Sharing Across Distributed Systems. However, Traditional Centralized Data Sharing Models Face Challenges Such As Lack Of Transparency, Data Tampering, Privacy Risks, And Limited Trust Among Participating Entities. To Address These Issues, This Study Proposes An AI-enhanced Data Sharing Framework Based On Blockchain Technology. The Proposed Framework Integrates Blockchain For Decentralized And Tamper-proof Data Management With Artificial Intelligence (AI) Techniques To Enable Intelligent Data Analysis And Secure Access Control. Blockchain Ensures Transparency, Immutability, And Secure Transaction Recording, While Smart Contracts Automate Data Sharing Policies Among Authorized Participants. AI Algorithms Analyze Shared Data To Detect Anomalies, Optimize Data Usage, And Support Intelligent Decision-making. The Framework Also Incorporates Encryption Mechanisms To Protect Sensitive Information During Storage And Transmission. Experimental Evaluation Demonstrates That The Proposed Approach Improves Data Security, Transparency, Scalability, And Reliability In Distributed Data Sharing Environments. This Framework Can Be Effectively Applied In Sectors Such As Healthcare, Finance, And Smart Cities, Where Secure And Trustworthy Data Exchange Is Essential

Published:

07-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

1635-1641

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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