Modeling And Methods Of Trusted Services Under Network Environment

This paper gives a service credible modle in the new network environment whichhas the character of service credibility on the basis of existing servicemodels.And it will be tested and verified in the real systems.This model makesues of SHA1algorithm to guarantee the accuracy of the data, takes advantage ofrole-based access control technology to execute authority management and carrysout datagram protocol to make intermediate data authentic report andtransport.This model can reflect the dynamic updating situations about servicestates,which breaks the limitations of existing models with only securitycertificate. Compared with existing models,it is more accurate in servicecredibility,as well as every performance index in service system.What’smore,without changing the core part, it has extensive commonality and can builddifferent models of service system in most network environment.In the end,thispaper introduces application examples of service credible model in displaysystem.It produces directviewing service platform,which reflects service’s truststatus vividly and clearly with intuitionistic data and visual icons.This paper’s work are as follows:●Study the design of credible model of service in the networkenvironment,which can reflect service’s authentic situation accuratly andintuitively based on users’ experience.●Provide design procedures about direct credibility、recommendedcredibility and general credibility.Make service quantified to reflect the credibilityof service more accurated.●Solve the visualization problem of monitoring data.Behavior trustedmodule makes the srevice cedible information quantified,and make the credibledata visualized.Besides it can reflect updating situations of real-time data.●Achieve the service credible evaluation system on the basic of cloudplatform of University Of Science and Technology Beijing.The service credibleevaluation system can be achieved on the foundation of the service credible modelin the passage,and it has been applied in the existing cloud platform of UniversityOf Science and Technology Beijing.