2020/01/07 by Xinyu Fan, Fan, Xinyu, Faen Zhang +7
Computer Science · Decision Sciences · #Cryptography and Security (cs.CR) #Data Quality and Management #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Scientific Computing and Data Management
paper · pdf · doi:10.48550/arxiv.2001.01945
openalex publication_date 2020/01/07 · openalex created_date 2020/01/23 · openalex updated_date 2026/07/28
A fine-grained provenance-based access control policy model is proposed in this paper, in order to improve the express performance of existing model. This method employs provenance as conditions to determine whether a piece of data can be accessed because historical operations performed on data could reveal clues about its sensitivity and vulnerability. Particularly, our proposed work provides a four-valued decision set which allows showing status to match a restriction particularly. This framework consists of target policy, access control policy, and policy algebras. With the complete definition and algebra system construction, a practical fine-grained access control policy model is developed.