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Blockchain Privacy Protection Algorithm Based on Pedersen Commitment and Zero-knowledge Proof

Published: 25 February 2022 Publication History

Abstract

Due to the transparency of the blockchain, the data in the blockchain can be viewed by any joining node, and the privacy is weak. In order to better solve the problem of privacy protection in the current blockchain, for the application of e-commerce blockchain, the Pedersen commitment mechanism is adopted to hide the transaction amount, combined with zero-knowledge proof technology to realize the verification of the transaction amount. At the same time, an efficient range proof scheme based on polynomial commitment and vector inner-product commitment is used to verify whether the transaction amount and the balance of both parties are greater than zero. Finally, use the homomorphism promised by Pedersen to update the ciphertext ledger. The security analysis and efficiency test of the proposed blockchain privacy protection algorithm show that compared with the existing schemes, the proposed algorithm has the advantages of strong security and higher efficiency.

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cover image ACM Other conferences
ICBTA '21: Proceedings of the 2021 4th International Conference on Blockchain Technology and Applications
December 2021
183 pages
ISBN:9781450387460
DOI:10.1145/3510487
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2022

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Author Tags

  1. Blockchain
  2. Pedersen commitment
  3. Privacy protection
  4. Range proof
  5. Zero-knowledge proof

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Cited By

View all
  • (2024)A Blockchain-Based Privacy Preserving Intellectual Property Authentication MethodSymmetry10.3390/sym1605062216:5(622)Online publication date: 17-May-2024
  • (2024)Enhancing Global Blockchain Privacy via a Digital Mutual Trust MechanismMathematics10.3390/math1210148112:10(1481)Online publication date: 10-May-2024
  • (2024)SCCT-DARS: Secure and Compliant Cryptocurrency Transactions in a Decentralized Anonymous Regulated SystemFrontiers in Cyber Security10.1007/978-981-99-9331-4_3(34-54)Online publication date: 4-Jan-2024
  • (2022)Toward Achieving Anonymous NFT TradingIEEE Access10.1109/ACCESS.2022.322878710(130166-130176)Online publication date: 2022

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