2025 Vol.8 Oct.N05

• Title: Knowledge sharing method for virtual innovation community based on blockchain
• Name: Jin Yan
• Company: Nanchang Normal College of Applied Technology,Nanchang,330000,China
• Abstract:

  In order to enhance the reliability of knowledge sharing in virtual innovation communities, this paper studies a new sharing method based on blockchain technology. Use LMS algorithm for denoising and missing value processing of knowledge data. Encoding and compressing knowledge data based on wavelet transform to reduce shared CPU usage, combined with blockchain security authentication and AES encryption algorithm to achieve virtual innovation community knowledge sharing. The experimental results show that this method has a low CPU utilization, meets the standard requirements for authentication delay and sharing delay, has a small number of error shares, and has high sharing reliability.

  
  

• Keyword: blockchain; Knowledge sharing; Shared reliability
• DOI: 10.12250/jpciams2025091001
• Citation form: Jin Yan.Knowledge sharing method for virtual innovation community based on blockchain[J]. Computer Informatization and Mechanical System,2025,Vol.8,pp.

[1]Suma M, Madhumathy P. Brakerski‐Gentry‐Vaikuntanathan fully homomorphic encryption cryptography for privacy preserved data access in cloud assisted Internet of Things services using glow‐worm swarm optimization[J].Transactions on Emerging Telecommunications Technologies, 2022, 33(12):4641-4661.

[2]Zhang X, Tan X Z, Wang X Y, et al. A Trusted Sharing Model for Risk Information of Food Full-Process and All-Information Based on Blockchain and Federated Learning[J]. Food Science, 2024,45(15):1-12.

[3]Zhao B, Jiang X, Zhou Y. Online E-Commerce Credit Information Sharing Method Based on Blockchain Technology[J]. Information Science, 2023,41(1):158-165.

[4]Madni H A, Umer R M, Foresti G L. Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients[J].International Journal of Neural Systems, 2023,33(8):2350033-2350045.

[5]Ganjavi R, Sharafat A R. Edge-Assisted Public Key Homomorphic Encryption for Preserving Privacy in Mobile Crowdsensing[J].IEEE transactions on services computing, 2023,16(2):1107-1117.