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227results about How to "Avoid data breaches" patented technology

System and Method of Encrypting Network Address for Anonymity and Preventing Data Exfiltration

A method is provided for sending a data packet from a client through a network and to a server. The data packet is a data structure having an originating address portion and destination address portion. The network includes a first mix router and a second mix router. The client has a client address, whereas the first mix router has a first mix router address, the second mix router has a second mix router address and the server has a server address. The method includes encrypting the originating address portion of the data packet and encrypting the destination portion of the data packet, transmitting the encrypted data packet, decrypting the originating address portion of the encrypted data packet and the destination portion of the encrypted data packet, providing a first data packet and providing a second data packet. Specifically, the encrypting the originating address portion of the data packet is based on the client address and the encrypting the destination portion of the data packet is based on one of the first mix router address and the second mix router address. The encrypting generates an encrypted data packet. The encrypted data packet is transmitted to the one of the first mix router and the second mix router, wherein it is decrypted to generate a decrypted data packet. The first data packet is based on the decrypted data packet and is provided to the other of the first mix router and the second mix router. The second data packet is provided to the server.
Owner:THE JOHN HOPKINS UNIV SCHOOL OF MEDICINE

Model training method and device, text classification method, computer equipment and medium

The invention relates to the field of artificial intelligence and model construction, and by uploading model parameters of a local classification model and a local classification result to a federatedlearning server for joint learning, the security of text data in a model training process can be improved. The invention relates to a text classification model training method and device, a text classification method, computer equipment and a medium, and the training method comprises the steps: obtaining a text training set, and carrying out text classification training on a local classificationmodel according to the text training set; encrypting the model parameters of the trained local classification model and the local classification result, and uploading the encrypted model parameters and local classification result to a federated learning server for joint learning to obtain learning parameters; and receiving the learning parameters sent by the federated learning server, updating thetrained local classification model according to the learning parameters, and taking the updated local classification model as a trained text classification model. In addition, the invention also relates to a blockchain technology, and the text training set can be stored in the blockchain.
Owner:PING AN TECH (SHENZHEN) CO LTD

Privacy protection multi-side diagnostic model fusion method and system, and cloud server

The present invention belongs to the technical field of information safety, and discloses a privacy protection multi-side diagnostic model fusion method and system, and a cloud server. The system comprises a credible mechanism, a cloud server and a medical center terminal. The credible mechanism completes system initialization to provide system parameters and secret key distribution for the medical center terminal and the cloud computing server, the cloud computing server stores encrypted data resources and fuse local diagnostic models to generate a global diagnostic model, the medical centerterminal generates the local diagnostic models, sends the local diagnostic models through encryption to the cloud computing server and is used for fusion computing task published by the cloud computing server, and the medical center terminal and the cloud computing server can perform bidirectional authentication in the service. The privacy protection multi-side diagnostic model fusion method and system, and the cloud server can achieve privacy protection of the local diagnostic models and case data resources of the medical center, can improve the system efficiency and can be used to provide convenient and private online medical service for users in the real life.
Owner:XIDIAN UNIV
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