RBAC角色挖掘优化
原名：building-role-mining-for-rbac-optimization
应用自底向上和自顶向下的角色挖掘技术，包括聚类方法。
- 分类
- 数据分析
- 版本
- v1.0
- 作者
- 弈韬(@ra1nzzz)
- 下载
- 0
- 收藏
- 0
- 发布
- 2026-08-18
- 更新
- 2026-08-24
- TRACE 评分
- 3.6 / 5
内容概览
Role mining is the process of analyzing existing user-permission assignments to discover optimal roles for a Role-Based Access Control (RBAC) system. Organizations accumulate excessive permissions over time through job changes, project assignments, and ad-hoc access grants, leading to "role explosion" where thousands of granular roles exist with significant overlap. Role mining uses data analysis -- including clustering algorithms, formal concept analysis, and graph-based methods -- to consolidate permissions into a minimal set of roles that accurately represent business functions while enforcing least privilege. - When deploying or configuring building role mining for rbac optimization capabilities in your environment - When establishing security controls aligned to compliance requirements - When building or improving security architecture for this domain - When conducting security asse…