A Review of Secure Data Frameworks for Multi-Tenant Cloud Environment

Abstract

This is so because an increase in cloud computing has brought multi-tenant infrastructures once more into the light of contemporary IT infrastructures. These systems are scalable and economical, but the sharing of resources creates a lot of security challenges. In the paper, secure data frameworks applicable in a multi-tenant cloud model are reviewed based on the criteria of data isolation, encryption, access control, and protection of data at runtime. It examines the examples of virtualization, containerization, and Zero Trust Architecture models as possible architecture solutions and emerging technologies like confidential computing, blockchain. Important issues including insider threats, cross-tenant vulnerabilities and changing surfaces of attacks are mentioned. Empirical frameworks are analyzed in the paper and their performance to meet authentication and security requirements and compared. An overview of literature points towards the improvements made in AI-based detection, federated models, and energy-comprehensive security systems. The ultimate goal of the study is to constitute a detailed source of reference in the design of resilient and scalable models of security in multi-tenant cloud environments