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Towards on Blockchain Data Privacy Protection with Cryptography and Software Architecture Approach

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Blockchain and Trustworthy Systems (BlockSys 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1267))

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Abstract

The essence of blockchain is to solve trust problems and realize value transfer. The traditional centralized processing method adopts centralized transmission and storage of users’ data privacy, which improves the security and reliability of processing. The non central blockchain technology uses distributed ledger technology to realize the characteristics of disintermediation, data tampering, traceability, work audit, etc. encryption algorithm is used to encrypt the data, and consensus mechanism makes the data sharing of blockchain system more fair and stable. The current passive data privacy schemes are basically based on cryptography. On the premise of satisfying the constraint mechanism of blockchain, this paper studies the technical framework, encryption mechanism and empirical analysis of blockchain, and discusses the information privacy protection method of hiding the original big data as much as possible, so as to improve the system performance and protect the security and privacy of user data. At the same time, we study data privacy protection from the perspective of software architecture, and propose a data privacy protection scheme through algorithm decomposition multi center collaboration method, which provides guidance for big data sharing and transaction based on blockchain.

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Notes

  1. 1.

    https://bitcoin.org/bitcoin.pdf.

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Acknowledgments

This research has been supported by the Natural Science Foundation of China (No. 61562024, No. 61463012).

Author information

Authors and Affiliations

  1. School of Information Science and Technology, Hainan Normal University, Haikou, China

    Zexu Wang, Bin Wen & Ziqiang Luo

  2. Cloud Computing and Big Data Research Center, Hainan Normal University, Haikou, China

    Bin Wen & Ziqiang Luo

  3. Key Laboratory of Data Science and Intelligence Education of Ministry of Education, Hainan Normal University, Haikou, 571158, China

    Zexu Wang & Bin Wen

Authors
  1. Zexu Wang
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  2. Bin Wen
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  3. Ziqiang Luo
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Corresponding author

Correspondence to Bin Wen .

Editor information

Editors and Affiliations

  1. Sun Yat-sen University, Guangzhou, China

    Zibin Zheng

  2. Macau University of Science and Technology, Macau, China

    Hong-Ning Dai

  3. Kunming University of Science and Technology, Kunming, China

    Xiaodong Fu

  4. Dali University, Dali, China

    Benhui Chen

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Wang, Z., Wen, B., Luo, Z. (2020). Towards on Blockchain Data Privacy Protection with Cryptography and Software Architecture Approach. In: Zheng, Z., Dai, HN., Fu, X., Chen, B. (eds) Blockchain and Trustworthy Systems. BlockSys 2020. Communications in Computer and Information Science, vol 1267. Springer, Singapore. https://doi.org/10.1007/978-981-15-9213-3_16

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  • DOI: https://doi.org/10.1007/978-981-15-9213-3_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9212-6

  • Online ISBN: 978-981-15-9213-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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