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With The Exponential Growth Of Digital Information, Cloud Storage Has Become An Indispensable Solution For Managing Large Volumes Of Data. However, Ensuring Data Integrity, Secure Retrieval, And Efficient Verification Remains A Critical Challenge, Particularly When The Stored Data Contains A High Degree Of Similarity Across Files. Traditional Provable Data Possession (PDP) Schemes Provide Integrity Verification But Lack Support For Fine-grained Retrieval And Face Significant Overhead When Dealing With Massive And Redundant Datasets. To Address These Limitations, This Study Proposes A Blockchain-Empowered Keyword Searchable Provable Data Possession (KS-PDP) Framework Designed Specifically For Large-scale Similar Data. The System Integrates Blockchain’s Immutable And Transparent Ledger To Ensure Tamper-proof Auditing, While Enabling Keyword-based Searchable Access To Outsourced Data Without Revealing Sensitive Information. A Similarity-aware Indexing Mechanism Is Incorporated To Minimize Redundant Verification Costs And Enhance Storage Efficiency. The Proposed Scheme Achieves Threefold Objectives: (i) Provable Data Integrity Through Decentralized Blockchain-based Auditing, (ii) Privacy-preserving Keyword Search For Flexible And Secure Data Retrieval, And (iii) Optimized Performance For Large, Highly Similar Datasets By Reducing Computational And Storage Overhead. Security And Performance Analysis Demonstrate That The Framework Resists Malicious Behaviors, Ensures Verifiable Search Results, And Achieves Significant Efficiency Gains Compared To Conventional PDP Methods. This Work Lays The Foundation For Trustworthy, Scalable, And Efficient Data Management In Cloud And Distributed Storage Environments.