Patents by Inventor Haobin Ma

Haobin Ma has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Blockchain sharding method and system based on convolutional neural network-long short-term memory (CNN-LSTM) prediction model
    Patent number: 12647484
    Abstract: Disclosed are a blockchain sharding method and system based on a convolutional neural network-long short-term memory (CNN-LSTM) prediction model. The method includes: using a double-layer chain system architecture, namely a vehicle layer and an edge layer; and using a delegated byzantine fault tolerance (DBFT) as a consensus protocol of a network at the vehicle layer and using proof of authority (POA) as a consensus protocol at the edge layer. Load balancing of the blockchain sharding system is optimized through a CNN-LSTM prediction model. A transaction status of the entire sharding network in a next period is predicted. Hot accounts are effectively allocated through a designed account allocation algorithm. The blockchain sharding method can maintain load balancing of shards, reduce cross-shard transactions, and implement effective utilization of resources. Malicious behavior of nodes is restricted. Security of the network is ensured.
    Type: Grant
    Filed: October 27, 2023
    Date of Patent: June 2, 2026
    Assignee: GUANGDONG UNIVERSITY OF TECHNOLOGY
    Inventors: Rong Yu, Bingquan Su, Siming Wang, Haobin Ma
  • BLOCKCHAIN SHARDING METHOD AND SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK-LONG SHORT-TERM MEMORY (CNN-LSTM) PREDICTION MODEL
    Publication number: 20250071175
    Abstract: Disclosed are a blockchain sharding method and system based on a convolutional neural network-long short-term memory (CNN-LSTM) prediction model. The method includes: using a double-layer chain system architecture, namely a vehicle layer and an edge layer; and using a delegated byzantine fault tolerance (DBFT) as a consensus protocol of a network at the vehicle layer and using proof of authority (POA) as a consensus protocol at the edge layer. Load balancing of the blockchain sharding system is optimized through a CNN-LSTM prediction model. A transaction status of the entire sharding network in a next period is predicted. Hot accounts are effectively allocated through a designed account allocation algorithm. The blockchain sharding method can maintain load balancing of shards, reduce cross-shard transactions, and implement effective utilization of resources. Malicious behavior of nodes is restricted. Security of the network is ensured.
    Type: Application
    Filed: October 27, 2023
    Publication date: February 27, 2025
    Inventors: Rong Yu, Bingquan Su, Siming Wang, Haobin Ma