Techniques For Ensuring Data Privacy In Multi-Tenant Cloud EnvironmentsMulti-tenant cloud environments, where multiple users share resources while maintaining separate environments, have become a mainstream infrastructure architecture due to the growing p

Abstract

Multi-tenant cloud environments, where multiple users share resources while maintaining separate environments, have become a mainstream infrastructure architecture due to the growing popularity of cloud computing. The possibility of data leakage between renters and the danger of illegal access to sensitive information, however, make maintaining data privacy in such settings extremely difficult. In order to preserve data privacy in multi-tenant cloud systems, this study looks at a number of techniques, including secure multi-party computation, access control systems, and data encryption. We discuss the applications of encryption during data transmission and storage. For safe data access, we focus on methods like homomorphic and attribute-based encryption. We look at role-based and attribute-based access control methods to make sure that data is kept separate and that users from different tenants can't get to each other's data without permission. We also investigate strategies, such as data anonymisation and differential privacy, to reduce hazards during data processing and analysis. We also explore cutting-edge strategies for maintaining integrity and reliability in multi-tenant cloud settings, such as blockchain and trusted execution environments (TEEs). The trade-offs between privacy, performance, and scalability are discussed in the paper's conclusion, which also offers a research agenda for this crucial area of cloud security.

Keywords: data privacy, multi-tenant cloud environments , cloud security, encryption, homomorphic encryption, attribute-based encryption, access control, role-based access control (RBAC), attribute-based access control (ABAC), and data segregation.