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.
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
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.
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.
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
Citation Information
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