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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.20497 |
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| _version_ | 1866913759904137216 |
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| author | Parab, Aishwarya Pradhan, Prakhar Simmhan, Yogesh Paul, Arnab K. |
| author_facet | Parab, Aishwarya Pradhan, Prakhar Simmhan, Yogesh Paul, Arnab K. |
| contents | The increasing availability of data from diverse sources, including trusted entities such as governments, as well as untrusted crowd-sourced contributors, demands a secure and trustworthy environment for storage and retrieval. Blockchain, as a distributed and immutable ledger, offers a promising solution to address these challenges. This short paper studies the feasibility of a blockchain-based framework for secure data storage and retrieval across trusted and untrusted sources, focusing on provenance, storage mechanisms, and smart contract security. Through initial experiments using Hyper Ledger Fabric (HLF), we evaluate the storage efficiency, scalability, and feasibility of the proposed approach. This study serves as a motivation for future research to develop a comprehensive blockchain-based storage and retrieval framework. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_20497 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Blockchain-Enabled Framework for Storage and Retrieval of Social Data Parab, Aishwarya Pradhan, Prakhar Simmhan, Yogesh Paul, Arnab K. Distributed, Parallel, and Cluster Computing The increasing availability of data from diverse sources, including trusted entities such as governments, as well as untrusted crowd-sourced contributors, demands a secure and trustworthy environment for storage and retrieval. Blockchain, as a distributed and immutable ledger, offers a promising solution to address these challenges. This short paper studies the feasibility of a blockchain-based framework for secure data storage and retrieval across trusted and untrusted sources, focusing on provenance, storage mechanisms, and smart contract security. Through initial experiments using Hyper Ledger Fabric (HLF), we evaluate the storage efficiency, scalability, and feasibility of the proposed approach. This study serves as a motivation for future research to develop a comprehensive blockchain-based storage and retrieval framework. |
| title | A Blockchain-Enabled Framework for Storage and Retrieval of Social Data |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2503.20497 |