一种面向本地差分隐私时间序列聚合的后处理可验证回退方法及系统

By using a sliding window budget allocation and hybrid trust fusion mechanism, combined with adaptive triggers and post-processing strength determination, the problem of insufficient stability of post-processing schemes in existing technologies in mobile crowd sensing and urban IoT systems is solved. This enables online verifiable rollback and privacy protection, and improves the robustness and availability of the system.

CN121940755BActive Publication Date: 2026-07-17YANTAI UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YANTAI UNIV
Filing Date
2026-03-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In online continuous publishing environments for mobile crowd sensing and urban IoT, existing post-processing solutions struggle to effectively safeguard and verify post-processing results online without relying on round-by-round real values, resulting in insufficient system stability, uncontrollable risks, and a lack of interpretability.

Method used

It employs a sliding window budget allocation, sensitivity control, and hybrid trust fusion mechanism, combined with adaptive triggers and post-processing strength determination. Through dual-path routing scheduling and robust aggregation, it generates verifiable rollback certificates, providing online verification and rollback basis to ensure privacy protection and result stability.

Benefits of technology

It enables online safeguarding and verifiable rollback of post-processing results without relying on round-by-round true values, improving the robustness and deployability of the system, reducing the impact of noise, and enhancing the stability and usability of the aggregation results.

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Abstract

本发明涉及数据处理技术领域,尤其是涉及一种面向本地差分隐私时间序列聚合的后处理可验证回退方法及系统。方法包括基于所获取的数据执行窗口预算调度,包括隐私单位与滑动窗口预算分摊、参与约束与动态路由调度;利用基于统计特性的混合信任融合机制,对调度后的数据进行融合处理,包括混合信任稳健聚合和方差驱动融合;基于融合结果执行约束代理验证与守护式后处理,包括自适应触发器与后处理强度确定、时域后处理算子和空域后处理算子构建;本发明通过滑动窗口预算分摊、灵敏度控制和本地随机化相结合的方式,能够在不访问原始数据的前提下控制长期发布过程中的隐私损耗,并提高隐私配置的可解释性和可审计性。
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