Abstract

There are a lot of security issues in cloud computing service environments such as virtualization, distributed big data processing, serviceability, traffic-handling, application security, access control, authentication, cryptography and etc. Especially, data access using various resources needs authenti- cation and access control model for integrated management and control in cloud computing environ- ments. Cloud computing service provides a differentiated service according to component of security policy because a permitted limit of service provider and user are different. RBAC(Role-Based Ac- cess Control) and C-RBAC(Context-Aware Role Based Access Control) do not suggest effective and practical solution using dynamic access control method by manager and user. Therefore, new dy- namic access control model needs to make up for the weakness of existing problems according to cloud computing characteristic. In this paper, we propose Onto-ACM(Ontology Based Access Con- trol Model) for dynamic access control. Onto-ACM is a semantic analysis model for permitted limit of service provider and user. This proposed model is the intelligent context-aware access model for applying the proactive security level of resources access using context information ontology model- ing and reasoning engine.