2results about How to "Prevent malicious behavior" patented technology

This invention discloses a federated learning method based on group signatures, smart contracts, and a distributed file system (DFS) to hide data source information, relating to the field of computer cryptography. This invention utilizes smart contracts to manage members of each group. Each group member completes model training using its local data to obtain model parameters. These parameters are then encrypted using group signatures and uploaded to the DFS to obtain the DFS address. The encryption key and DFS address are then encrypted and group-signed again via a smart contract and uploaded. The central server decrypts the DFS address and key to obtain the DFS address, downloads the encrypted model parameters from the DFS, and decrypts them using the key to obtain the model parameters uploaded by each group member. These parameters are then aggregated and updated to obtain the improved global model. This invention effectively protects the privacy of data providers, ensuring the protection of data source information for both parties during the federated learning process.

The application relates to a kind of implementation methods of verifiable Internet of Things device data asset transaction, based on the data seller, blockchain and data buyer involved in Internet of Things data asset transaction system, the process for realizing verifiable data asset transaction is as follows: data seller publishes encrypted data on blockchain through smart contract, data buyer requests data according to needs and submits verification request.Smart contract is responsible for verifying the integrity and authenticity of data, and transmits decryption key to data buyer after verification.The data buyer decrypts the data using the key and completes the transaction.If the buyer finds that the decrypted data is abnormal, the smart contract is called to initiate arbitration.Through the confusion encryption mode, RSA accumulator technology, hash verification mechanism and on-chain arbitration mechanism, these attack behaviors are effectively resisted, and the privacy, integrity and verifiability of data transaction are ensured.