Mining Attribute-Based Access Control Policies from Logs
Overview & Synopsis
Attribute-based access control (ABAC) provides a high level of flexibility that promotes security and information sharing. ABAC policy mining algorithms have potential to significantly reduce the cost of migration to ABAC, by partially automating the development of an ABAC policy from information about the existing access-control policy and attribute data. This paper presents an algorithm for mining ABAC policies from operation logs and attribute data. To the best of our knowledge, it is the first algorithm for this problem.
Indexed from repository: HAL Open Science
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hal.science)
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Document Information
| Document Title | Mining Attribute-Based Access Control Policies from Logs |
|---|---|
| Author / Organization | Zhongyuan Xu, Scott D. Stoller |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2014 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-18986 |
| Original Source Link | Visit Source Page on hal.science » |