A multi-level permission dynamic allocation method and system of an enterprise management platform
By analyzing the co-occurrence and bidirectional dependency characteristics of permission groups and combining them with historical configuration information of user role permissions, the correlation and fit indicators of permission groups are quantified, which solves the problem of inaccurate permission allocation in existing technologies and improves the security and automation level of permission allocation in enterprise management platforms.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, enterprise management platforms rely solely on users' static attributes or single permission security levels when allocating permissions, ignoring the relationships between permissions. This results in inaccurate authorization risk assessments and issues such as unauthorized access and increased workload for manual approvals.
By analyzing the co-occurrence and bidirectional dependency characteristics of permission groups in historical configuration information, and combining the asymmetry of bidirectional dependency characteristics for dynamic weighted fusion, the correlation of permission groups is quantified. In addition, the degree of dependence of additional permissions on the existing permission set of roles is combined to calculate the fit index, assess the degree of authorization risk, and finally make authorization decisions.
It enables accurate assessment of the correlation between permissions, improves the security and automation of dynamic allocation of multi-level permissions, reduces authorization risks, and improves processing efficiency.
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