A context-aware role-based access control model for Web services

2005 ◽  
Author(s):  
Shen Haibo ◽  
Hong Fan
Keyword(s):  
Web Services ◽  
Access Control ◽  
Control Model ◽  
Role Based Access Control ◽  
Context Aware ◽  
Access Control Model ◽  
Role Based

scholarly journals CaACBIM: A Context-aware Access Control Model for BIM

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 47 ◽  
Author(s):  
Rongyue Zheng ◽  
Jianlin Jiang ◽  
Xiaohan Hao ◽  
Wei Ren ◽  
Feng Xiong ◽  
...  
Keyword(s):  
Access Control ◽  
Life Time ◽  
Control Model ◽  
Mobile Cloud ◽  
Role Based Access Control ◽  
Context Aware ◽  
Traditional Role ◽  
Access Control Model ◽  
User Grouping ◽  
Role Based

A building information model (BIM) is of upmost importance with a full life-time cycle in architecture engineering and construction industry. Smart construction relies on BIM to manipulate information flow, data flow, and management flow. Currently, BIM has been explored mainly for information construction and utilization, but there exist few works concerning information security, e.g., audits of critical models and exposure of sensitive models. Moreover, few BIM systems have been proposed to make use of new computing paradigms, such as mobile cloud computing, blockchain and Internet of Things. In this paper, we propose a Context-aware Access Control (CaAC) model for BIM systems on mobile cloud architectures. BIM data can be confidentially accessed according to contexts in a fine-grained manner. We describe functions of CaAC formally by illustrating location-aware access control and time-aware access control. CaAC model can outperform role-based access control for preventing BIM data leakage by distinguishing contexts. In addition, grouping algorithms are also presented for flexibility, in which basic model (user grouping based on user role permissions) and advanced model (user grouping based on user requests) are differentiated. Compared with the traditional role-based access control model, security and feasibility of CaAC are remarkably improved by distinguishing an identical role with multiple contexts. The average efficiency is improved by 2 n / ( 2 n - p - q ) , and time complexity is O ( n ) .

Sign in / Sign up

Export Citation Format

Share Document