A method and system for managing a permissions data lake

By constructing a Verkle tree and combining it with hidden vector commitments and a global permission relationship graph, the problem of insufficient permission conflict detection capability in permission data management is solved, achieving efficient permission updates and enhanced security.

CN122419787APending Publication Date: 2026-07-17HIGH END EQUIP RES INST OF ZHENJIANG HARBIN INST OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HIGH END EQUIP RES INST OF ZHENJIANG HARBIN INST OF TECH
Filing Date
2026-04-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing permission data management technologies lack high-dimensional, context-sensitive dynamic modeling, resulting in insufficient permission conflict detection capabilities, excessively high update costs for tree or graph structures, and difficulty in timely detection of potential conflicts or abnormal patterns in permission inheritance chains.

Method used

Construct a Verkle tree and initialize the processing, update nodes using hidden vector commitments and sparse summation vector commitments, generate aggregate proofs, construct a global permission relationship graph and extract context-sensitive subgraphs, calculate a single topological index for conflict detection, and generate a post-quantum digital signature.

Benefits of technology

It significantly reduces the overhead of updating the tree structure, avoids information leakage, improves the system's ability to perceive and respond to potential permission risks, and enhances the transparency and security of permission management.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种权限数据湖的管理方法及系统,涉及数据管理与信息安全技术领域,包括,本发明通过Verkle树对权限数据进行组织和更新,利用稀疏求和向量承诺对高频节点进行高效处理,显著降低了树结构的更新开销,通过基于晶格的隐蔽向量承诺构建权限令牌,并结合内积论证生成聚合证明,避免了传统权限验证中信息泄露的问题,通过构建全局权限关系图并提取上下文敏感子图,利用Rips单纯形复杂和TDA计算拓扑指标,提升了系统对潜在权限风险的感知与响应能力。
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