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Research on Big Data Storage Method based on IPFS and Blockchain

Published: 21 March 2021 Publication History

Abstract

With the popularity of digital cryptocurrency such as bitcoin, blockchain, as a new distributed framework with decentralization, non rewriting and traceability, has sprung up rapidly and has been applied in many industries such as finance, medical treatment, information security, etc. In order to ensure the security of transaction data, all key information in the business needs to enter the blockchain network. In the field of artificial intelligence, model data (i.e. effective feature point data set) will be the key information and will be used frequently. However, these feature point datasets may be megabytes, auspicious, or even terahertz. Then, the performance of big data transaction in blockchain network will be a problem worthy of study. Therefore, this paper proposes a blockchain big data storage method based on IPFs. This method mainly solves the transaction performance problem of large text data in the blockchain network. The data larger than 100 megabytes are stored in IPFs to obtain the hash certificate of text. The hash code is the only transaction voucher in the blockchain network. It greatly improves the transaction efficiency of blockchain network. In this paper, a comparative experiment is set up to further prove the efficiency of our method.

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VSIP '20: Proceedings of the 2020 2nd International Conference on Video, Signal and Image Processing
December 2020
108 pages
ISBN:9781450388931
DOI:10.1145/3442705
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 21 March 2021

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Author Tags

  1. BigData
  2. Decentralization
  3. IPFS
  4. blockchain

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