wanghongjun
Research Associate
Supervisor of Master's Candidates
- Master Tutor
- Education Level:PhD graduate
- Degree:Doctor of engineering
- Business Address:犀浦3号教学楼31529
- Professional Title:Research Associate
- Alma Mater:四川大学
- Supervisor of Master's Candidates
- School/Department:计算机与人工智能学院
- Discipline:Electronic Information
Software Engineering
Computer Application Technology
Contact Information
- PostalAddress:
- Email:
- Paper Publications
A Novel Role-based Access Control Model in Cloud Environments
- Impact Factor:2.259
- DOI number:10.1080/18756891.2016.1144149
- Affiliation of Author(s):西南交通大学
- Journal:International Journal of Computational Intelligence Systems
- Place of Publication:FRANCE
- Key Words:Access control;Cloud;Security;Availability;Trust;Bayesian;
- Abstract:In Cloud environments, the relationship between resources and users is more ad hoc and dynamic. The role-based access control (RBAC) model is an appropriate access control model for Cloud environments. When using the RBAC model in Cloud environments, some new elements should be considered. This pa- per proposes a SAT-RBAC model (security and availability based trust relationship in RBAC) and adopts the following elements as the main factors of a trust relationship: the security state and network avail- ability of the host used by a user, the protection state of the service providers that are related to the role. A security-based scheduling model for Cloud environments is presented. Because of the uncertainty of Cloud environments, the trust relationship is divided into three zones: the unbelievable zone, the prob- able believable zone and the believable zone. Bayesian method is used to estimate the trust probability distribution in the probable believable zone. This paper also provides algorithms to evaluate the values of the main elements of a trust relationship. Finally, the experiments in simulated Cloud environment based on CloudSim in PlanetLab are discussed and the results prove that the SAT-RBAC model is effective in filtering abnormal behaviors in Cloud environments.
- Co-author:Hongjun Wang, Xun Gong,Tianrui Li
- First Author:Jun Luo
- Indexed by:Academic papers
- Correspondence Author:Jun Luo
- Document Code:20160601897250
- Discipline:Engineering
- First-Level Discipline:Computer Science and Technology
- Volume:Volume 9
- Issue:2016 - Issue 1
- Page Number:Pages 1-9
- ISSN No.:1875-6883
- Translation or Not:no
- Date of Publication:2016-02-03