JFJinhua Fu

Jinhua Fu

*This is an algorithmically generated author record based on publicly available information.

Jinhua Fu has a total of 5 co-authors. Here are the top co-authors by number of shared publications:

  • Bin Li

    School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China

    1 shared publication
  • Chao Yuan

    State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China

    1 shared publication
  • Sihai Qiao

    School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China

    1 shared publication
  • Xueming Si

    State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China

    1 shared publication
  • Yongzhong Huang

    State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China

    1 shared publication

Latest Publications

  • Open Access

    A Study on the Optimization of Blockchain Hashing Algorithm Based on PRCA

    by Jinhua Fu, Sihai Qiao, Yongzhong Huang, Xueming Si, Bin Li, Chao Yuan

    Blockchain is widely used in encrypted currency, Internet of Things (IoT), supply chain finance, data sharing, and other fields. However, there are security problems in blockchains to varying degrees. As an important component of blockchain, hash function has relatively low computational efficiency. Therefore, this paper proposes a new scheme to optimize the blockchain hashing algorithm based on PRCA (Proactive Reconfigurable Computing Architecture). In order to improve the calculation performance of hashing function, the paper realizes the pipeline hashing algorithm and optimizes the efficiency of communication facilities and network data transmission by combining blockchains with mimic computers. Meanwhile, to ensure the security of data information, this paper chooses lightweight hashing algorithm to do multiple hashing and transforms the hash algorithm structure as well. The experimental results show that the scheme given in the paper not only improves the security of blockchains but also improves the efficiency of data processing.