Title
Using Conditional Random Fields to Optimize a Self-Adaptive Bell–LaPadula Model in Control Systems
Abstract
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 Yang121.75
jin wang224336.79
Zhuo Tang324018.21
Neal N. Xiong472.45