Affiliations: [a] School of Information, Yunnan University of Finance and Economics, Kunming, China
| [b] Key Laboratory of Service Computing and Safety Management of Yunnan Provincial Universities, Kunming, China
| [c] Kunming Key Laboratory of Information Economy & Information Management, Kunming, China
Correspondence:
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Corresponding author. Rong Jiang, School of information, Yunnan University of Finance and Economics, Key Laboratory of Service Computing and Safety Management of Yunnan Provincial Universities, Kunming Key Laboratory of Information Economy & Information Management, Kunming, China. E-mail: [email protected].
Abstract: In order to solve the trust problem generated by each node in the medical cloud system during the interaction process, a dynamic access control model based on trust evaluation is proposed in this paper. The model uses entropy weight method and fuzzy theory to fit the comprehensive interaction trust value of nodes, add the role-based two-way selection mechanism and third-party real-time monitoring mechanism for dynamic access control. Give the specific procedures and methods. Through simulation and comparison experiments with the classic Eigen-Trust model and RBAC, we can see that the model proposed in this paper has great advantages in dynamic controllability, time complexity and trust accuracy.
Keywords: Cloud computing, health care big data, information entropy, trust evaluation, fuzzy relation matrix, access control
