2024 Vol.7 Aug.N04

• Title: Homomorphic encryption-based data security protection method for hybrid blockchain transactions
• Name: Guorong Chen
• Company: Jiangxi University of Software Professional Technology，Nanchang，330041，China
• Abstract:

   Influenced by various factors such as transaction variability and malicious attacks, the hybrid blockchain transaction process may be poorly protected due to the lack of effective verification of transactions during data transmission. In this regard, a hybrid blockchain transaction data security protection method based on homomorphic encryption is proposed. First, the role of the regulatory center is defined as a third-party certificate authority, and the user registration process is optimized and designed by combining the regulatory center to distribute digital certificates as well as public and private keys. Then a three-stage consensus mechanism is used to triple verify the blockchain transaction process by combining trusted bookkeeping nodes. Finally, combined with the homomorphic encryption algorithm, the key of the supervision center is encrypted and decrypted, so as to realize the acquisition of transaction data in plaintext. Finally, the proposed practical method is verified in terms of data protection effect by constructing an experimental comparison session. By visualizing and analyzing the results, it can be clarified that under the protection method, the blockchain transaction data throughput is higher, which has a more ideal data protection effect.

  
  

• Keyword: homomorphic encryption; blockchain; transaction data; security protection;
• DOI: 10.12250/jpciams2024090803
• Citation form: Guorong Chen.Homomorphic encryption-based data security protection method for hybrid blockchain transactions[J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.8-11

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