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A novel method using matrix coding on-chain and sharing multimedia data for improved usability and reliability

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Abstract

Blockchain technology has the characteristics of non-tampering and forgery, traceability, and so on, which have good application advantages for the storage of multimedia data. So we propose a novel method using matrix coding on-chain and sharing multimedia data for improved usability and reliability. Based on matrix code, we provide the block matrix coding-based on-chain storing method and the block invertible matrix decoding-based sharing method. The method progressively converts the block to create linearly coupled coded chunks, so the blockchain only sends the chunk sets that have been encoded. Each node also maintains just the ledger relevant to its own operations, which lessens the node’s storage burden. Meanwhile, we make several replications of the chunk set by adding a replication factor to increase the feasibility of chunks. Only when all of the target nodes fail is decoding reconstruction necessary, which further enhances the read performance of the blockchain. Many experimental tests are conducted to evaluate the performance based on various parameters such as time overhead, storage overhead, compression factor, failure factor, and so on. According to theoretical analysis and experimental verification, the method offers good read performance with a high recovery success rate and minimal storage occupation, while guaranteeing the availability and dependability of the block data.

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Data sharing is not applicable to this article as no datasets were generated or analyzed during the current work.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Guangzhou Institute of Science and Technology, Guangzhou, China

    Lizhu Yang

  2. School of Cyberspace Security, Dongguan University of Technology, Dongguan, China

    Yong Qin

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  1. Lizhu Yang
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  2. Yong Qin
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Correspondence to Yong Qin.

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Yang, L., Qin, Y. A novel method using matrix coding on-chain and sharing multimedia data for improved usability and reliability. Multimed Tools Appl 83, 87727–87748 (2024). https://doi.org/10.1007/s11042-024-18819-3

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  • DOI: https://doi.org/10.1007/s11042-024-18819-3

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