Research On Structured Data Access Control Model Based On Credit Value

With the rapid development of Internet technology and the continuous deepening of the application of network technology,the network interaction has also become very frequent.how to ensure the network security has become a very important problem.Access control is an indispensable module in the network system.It is used to elimination illegal access and operation to protect data security,and to design a resource access control strategy and mechanism that is more in line with demand.It is the most important part of system security.It is also a hot topic in the field of network system security academic exchange research.According to the existing research results,this dissertation first classifies the existing access control technologies,including discretionary access control technology,mandatory access control technology and the most widely used role based access control technology,comparing the implementation differences of these access control technologies and performance in different application scenarios..Based on the above analysis,we propose the research object of this dissertation,that is,passive access control(the system is active in dynamic regulation of the subject rights)technology.In this dissertation,the network trust model is established through the social trust system,and the trust and access control model are integrated to solve the shortcomings and shortcomings of the traditional model.Firstly,according to the attributes of structured data,the subject data of different tolerance are divided according to the private density of the attributes and the characteristics of the data are divided.By evaluating the reputation value of the main body,a more suitable reputation level is set up for the main body.Secondly,the structured data is classified according to the private density of attributes,the minimum credit value access standard is set at each level,and the credit value is calculated for each subject in the system,and the access rights of the corresponding data are judged.Because the reputation value of each body in the system is very different,if the credit value ofeach body is managed according to the reputation value of each body,the weight of the main body is large after the development of the system,the cost of the access control process is large,the flexibility is poor,and the maintenance is relatively complex.Based on the above problems,the privilege classification control strategy is set up,and the role is taken as the role.For reference,the credit value is divided into levels to generate the permission set,and the data attribute set is specified for access control.Finally,based on the existing privacy game theory protection model,the system access behavior game prototype is designed,the behavior game process is formulated,the reputation value reward model and the reputation value penalty model are put forward to correct the reputation value so as to improve the accuracy of access control.The simulation experimental results show that the calculation method of the reputation value of the main body accords with the expected results.The influence of main access behavior and time on reputation value also provides adjustment basis for different threshold settings.