Research On Cloud Computing Access Control System Based On User Behavior Trust Measure

With the virtualization technology,the gradual maturity of cloud computing framework technology and the rapid development of IT companies,the demand for distributed storage and computing on the cloud is also growing.Cloud computing technology was born out of this demand.Cloud computing forms a large-scale shared virtual resource pool through the massive data resources on the network,which greatly facilitates the use of resources by cloud users and reduces the cost of using storage resources.However,this allows users in the network to use the core and private data of any enterprise and individual,and also provides opportunities for some illegal users to destroy cloud resources.Therefore,in the development of cloud computing,the security problem of cloud computing cannot be ignored,and the security problem should be the top priority to solve,and the trust of multi-tenant access behavior is the top priority.For cloud security,it is necessary to evaluate the trust of user behavior while verifying the authenticity of the user's identity.Traditional authentication technology has long been mature,and identity authentication alone cannot prevent malicious attacks from destroying cloud resources.Therefore,the analysis and evaluation of user behavior is the key to effectively improve cloud security,and is also the focus of today's cloud computing research.This paper proposes a cloud computing access control model based on user behavior trust metrics.Based on the traditional role-based access control model,the user behavior management module is extended,and the user's role is considered through the attribute-based access control model.,Tense,environment and other attributes control access to user resource service requests.main tasks as follows:(1)Based on the analysis and research of the cloud computing access control model,user behavior management modules and attribute-based resource access control modules are added to the traditional role-based access control model.A cloud computing access control model based on user behavior trust metrics is given and formalized.(2)Research on the index system and evaluation method of user behavior trust measurement,give the evaluation index system of user behavior,and determine the index set for evaluating the user behavior trust value;then obtain the indicators by monitoring the user's intra-domain and extra-domain behavior Make the processing;Finally,the improved fuzzy analytic hierarchy process is used to calculate the user's intra-domain and inter-domain trust,the role obtained by the user is used as an attribute,and the tense and environmental attributes are combined based on the attribute-based access control process for authorization.The feasibility and safety of the model are verified through experimental analysis.