Agricultural Products Quality Tracking Trust Model Based On SaaS

With the introduction of new technologies of cloud computing, the traditional IT applications and service models have had a huge impact. Cloud computing has become a hot topic in the academics and businesses research. Cloud computing service model has been gradually commercialized thus appears more and more cloud offerings. Cloud computing puts the data resource from terminal to the Internet cloud server thus it is benefits to access and users do not care storage space etc. However, the new service model also appeared in its limitations, that is the security issue. In the cloud computing service model, SaaS is a cloud computing service model. It provides a convenient, efficient and effective service model, therefore the products of SaaS have quickly been made.Among the many SaaS products, there is little commercial products which combines SaaS service model with agricultural products quality tracking. With people’s living standards continued improve the quality requirements, quality and safety of agricultural products has become a hot topic of concern, the quality of agricultural products on the safety of agricultural products traceability is an effective way. This cloud-based service model with a combination of new agricultural products quality tracking service business model is analyzed in detail in the cloud security issues, we proposed an improved trust model combining security trust model.This paper analyzes the necessity, feasibility and the key technologies of combination in the cloud services model and agricultural products quality tracing, and it designs the framework of SaaS-based agricultural products quality tracing system. Second, it discusses cloud service security problems. It is through the study of confidence in the SaaS-based agricultural products quality tracing, trust model is improved at the same time to make a detailed design and obtain the trust of evidence obtained through simulation and thus improves trust model to evaluate and verify; Finally making summary of the content of the paper, giving the inadequacies of this article and expecting the related technology and trust model.