基于秘密分享与MAC标签的可扩展分布式隐私保护FFT方法
By optimizing distributed FFT through a three-level network architecture and hierarchical communication topology, and combining third-party replication secret sharing and MAC tagging technology, the communication and security issues in distributed FFT computation are solved, achieving efficient, scalable, and privacy-preserving FFT computation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUAZHONG AGRI UNIV
- Filing Date
- 2026-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing distributed FFT computation suffers from several problems in data privacy protection, including conflicts between communication overhead and security mechanisms, computational bottlenecks in label verification, lack of differentiation in node roles, and complexity in cross-domain collaboration. These issues result in high communication complexity, large computational overhead, and poor scalability.
A layered communication and batch verification mechanism based on a three-level network architecture is adopted, which combines third-party replication and secret sharing with MAC tagging technology. Through layered communication topology and MAC batch verification protocol, the communication mode is optimized and the verification overhead is reduced.
It reduces the communication complexity from O(M) to O(M/N) under the malicious security model, and reduces the MAC verification overhead from 35% to below 8%, improving the security and scalability of the system and making it suitable for privacy computing scenarios with large-scale data.
Smart Images
Figure CN122160053B_ABST