A data hierarchical aggregation and query method and system for privacy protection in a 6G network

By adopting secure multi-party computing technology and multi-party security protocols in 6G networks, optimizing data layered aggregation and query methods, solving the problems of user privacy leakage and high computing overhead, and realizing efficient and secure data processing and classification services, it is suitable for industrial deployment.

CN119997121BActive Publication Date: 2025-10-17XIDIAN UNIV
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Patent Information

Application Number
CN202510064077.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-15
Publication Date
2025-10-17
Estimated Expiration
2045-01-15

AI Technical Summary

Technical Problem

In 6G networks, existing technologies ignore the protection of original data in data processing and utilization, leading to the risk of user privacy leakage. In addition, data layering aggregation schemes based on homomorphic encryption and blockchain have high computational overhead, poor scalability, and insufficient privacy protection. The Naive Bayes algorithm lacks security protection in plaintext data, affecting model training efficiency and usability.

Method used

By adopting secure multi-party computing technology and applying multi-party secure computing between edge nodes and central aggregation nodes, hierarchical aggregation and query of data are realized, the data aggregation mechanism is optimized, and frequency addition and multiplication sharding are used to encode and encrypt data to ensure data privacy. Collaborative computing is performed between edge nodes and central nodes to optimize the security and efficiency of the naive Bayes algorithm.

Benefits of technology

It achieves efficient privacy-preserving data hierarchical aggregation and query in 6G networks, reduces computing and communication overhead, improves data security and processing efficiency, ensures user privacy is not leaked, and improves model accuracy and user experience, making it suitable for industrial deployment.

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Abstract

The application discloses a data hierarchical aggregation and query method and system for privacy protection in a 6G network, and the method comprises six stages, namely, a system initialization stage, a data uploading and edge aggregation stage, an edge data preprocessing stage, an edge classification query request stage, a center data preprocessing stage and a center node classification query request stage, wherein the system initialization stage, the data uploading and edge aggregation stage, the edge data preprocessing stage and the center data preprocessing stage need to be executed only once, and then the edge classification query request stage and the center node classification query request stage can be unlimitedly responded to. The application effectively solves the problem of privacy protection in the data hierarchical aggregation and query process of AI services in the 6G network.
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Citation Information

Patent Citations

  • Edge-assisted privacy protection multi-dimensional data hierarchical aggregation method

    CN116361827A

  • Multi-party privacy protection naive Bayesian model rapid training and lightweight prediction method

    CN116405184A

  • Multi-layer and multi-level personalized local differential privacy method for classifying and grading data frequency estimation

    CN117390683A

  • Safe acquisition method of naive Bayesian model in 6G network

    CN117651272A