Development of a Security Education Model System for Cloud Computing and Data Security and Privacy Protection

The great efficiency and dependability of cloud computing enhance the efficiency of mining and analyzing large data in education. Big data in education have been more prevalent in the cloud environment, and the efficiency of data processing has been greatly enhanced, elevating the significance of big data in education and teaching practice. However, the promotion of education big data in the cloud environment has revealed an increasing number of issues. People pay increasing attention to the security of big data in education, i.e., whether big data in education can be safely maintained, retrieved, and utilized in the cloud environment. It focuses on the relationships between education big data producers, users, and cloud service providers. The primary topics of this article are, therefore, how to govern the connections between the three parties, the adoption of stringent technical means, and the establishment of data use guidelines and a regulatory structure. Consequently, this paper investigated the multimodal information fusion technology and the data security model of education in colleges and universities, as well as constructing a cognitive psychological model for education in colleges and universities based on multimodal information fusion and conducting experimental research on it. The research showed that under the cognitive psychology mode of education in colleges and universities based on multi-modal information fusion, the cognitive efficiency of education of students has increased.