scholarly journals Fine-grained access control model based on sensitivity calculation by fuzzy mathematics

2021 ◽  
Vol 1856 (1) ◽  
pp. 012024
Author(s):  
Yuntao Wang
2012 ◽  
Vol 468-471 ◽  
pp. 1667-1670
Author(s):  
Lei Gao ◽  
Shu Lin Pan

Military information system has unusually tough restrictions on the rank, and attaches weight to the safety and secrecy of the information. This makes the higher demands on access control on information. So a new access control model based on RBAC is prompted against the limitation of the existing models of RBAC. This model is named as fine-grained access control model based on RBAC. This model not only assigns different roles to different users, but also adds an attribute of department ,so the role and the department are combined; It realizes fine-grained access control and refines to controls of pages, so this keeps access control more precise; Role tree is used to define roles and in order to prevent the problem brought up by role inheriting, it impose s restrictions on whether it can role inherit; At last, ACL store the especial instances’ alteration. When a control is accessed, it will examine the role and department and then judge whether it can role inherit and then judge by combing ACL. So this will attain access control objective. The fulfillment indicates that this model can meet the requirement of real application of military information management system.


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Lixia Xie ◽  
Chong Wang

In order to solve the problem of access control among different security domains in cloud networks, this paper presents an access control model based on role and trust-degree. The model combines role-based access control and trust-based access control. The role assessment weights are defined based on the user’s role classes, and the trust-degree is calculated according to the role assessment weights and the role’s behavior. In order to increase the accuracy of access control, the model gives the concept and calculation methods of feedback trust-degree. To achieve fine-grained access control, the model introduces direct trust-degree, recommendation trust-degree, and feedback trust-degree, all of which participate in comprehensive trust-degree by adjusting their weights. A simulation experiment was conducted in the LAN environment, and a web system was used to construct an access control model with multisecurity domains in the experiment. The experimental results demonstrate that our model has higher security, expansibility, and flexibility.


2021 ◽  
Vol 18 (2) ◽  
pp. 110-135
Author(s):  
Xiang Yu ◽  
Zhangxiang Shu ◽  
Qiang Li ◽  
Jun Huang

2014 ◽  
Vol 513-517 ◽  
pp. 772-776
Author(s):  
Chen Wang ◽  
Hong Ai ◽  
Lie Wu ◽  
Yun Yang

The smart grid that the next-generation electric power system is studied intensively as a promising solution for energy crisis. One important feature of the smart grid is the integration of high-speed, reliable and secure data communication networks to manage the complex power systems effectively and intelligently. The goal of smart grid is to achieve the security of operation, economic efficient and environmental friendly. To achieve this goal, we proposed a fine-grained access control model for smart grid. In order to improve the security of smart grid, an access-trust-degree algorithm is proposed to evaluate the reliability of the user who want to access to the smart grid.


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