Abstract | ||
---|---|---|
•An efficient policy evaluation engine XDLEngine for large-scale policy sets is proposed.•The Latent Dirichlet Allocation (LDA) topic model is applied to cluster policy sets.•Rules under each topic are divided into different classes according to their cosinevalues. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1016/j.ins.2020.08.044 | Information Sciences |
Keywords | DocType | Volume |
Access control,Cosine similarity,Evaluation performance,Latent Dirichlet Allocation (LDA),Policy Decision Point (PDP) | Journal | 547 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fan Deng | 1 | 0 | 1.35 |
Zhenhua Yu | 2 | 22 | 8.65 |
Wenjing Liu | 3 | 0 | 0.34 |
Xiaoqing Luo | 4 | 0 | 0.34 |
Fu Yu | 5 | 23 | 3.09 |
Ben Qiang | 6 | 0 | 0.34 |
Chaoyang Xu | 7 | 0 | 0.34 |
Zhi Wu Li | 8 | 470 | 38.43 |