Computer Science ›› 2015, Vol. 42 ›› Issue (8): 138-144.

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Improved BLP Model Based on CRFs

MA Meng, TANG Zhuo, LI Ren-fa and XIONG Liao-te   

  • Online:2018-11-14 Published:2018-11-14

Abstract: As most access control models are short of the ability to perceive the system security status and risks in a dynamic way,the paper introduced a machine learning method CRFs into the rule optimization of BLP model,and proposed a dynamic BLP model,CRFs-BLP.After preprocessing and tagging the history access log,it will extract the feature set,then CRF++ toolkit will be taken to finish the study and training of these datasets,so the model can be adjusted dynamically according to the current secure state and events in system,and the read-write scope for sensitive objects will be limited dynamically.Finally,the experiment shows the availability and accuracy of the model in a real environment.

Key words: Access control,CRFs,Machine learning,BLP model

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