Research on economic data security and privacy protection in cloud computing environment

This paper discusses the security and privacy protection of economic data in the cloud computing environment, analyzes the current challenges, and puts forward key technologies and management strategies. With the wide application of cloud computing in the economic field, as the core assets of enterprises, the security and privacy of economic data are very important. However, the problems of multi-tenant architecture, distributed storage and cross-border data flow in cloud computing environment make economic data face risks such as data leakage, tampering and illegal access. Therefore, this paper investigates key technologies such as data encryption, access control, security auditing, and privacy protection. It analyzes the advantages and limitations of symmetric encryption, asymmetric encryption, homomorphic encryption, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and other techniques, and explores security enhancement mechanisms that combine blockchain with cloud computing. Meanwhile, it proposes management strategies including compliance with policies and regulations, risk assessment and response, security education and training, as well as collaboration and supervision. The research results show that the security and privacy protection level of economic data in cloud computing environment can be effectively improved by comprehensively applying various key technologies and management strategies, which provides theoretical support and practical reference for the healthy development of cloud computing and enterprise data security management.