Title | ||
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Using Conditional Random Fields to Optimize a Self-Adaptive Bell–LaPadula Model in Control Systems |
Abstract | ||
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Once defined, the access control policies and regulations would never be changed in a running and state transition process. However, it will give attackers the possibility of discovering vulnerabilities in the system, and the control systems lack the ability of dynamic perception of security state and risk, causing the systems to be exposed to risks. In this article, a dynamic Bell–LaPadula (BLP) ... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TSMC.2019.2937551 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | DocType | Volume |
Access control,Machine learning,Data models,Training,Optimization,Computational modeling | Journal | 51 |
Issue | ISSN | Citations |
7 | 2168-2216 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Li Yang | 1 | 2 | 1.75 |
jin wang | 2 | 243 | 36.79 |
Zhuo Tang | 3 | 240 | 18.21 |
Neal N. Xiong | 4 | 7 | 2.45 |