INTERNATIONAL JOURNAL OF ADVANCE RESEARCH
IN MULTIDISCIPLINARY

Cloud computing has revolutionized data storage and service delivery by providing scalable, cost-efficient, and on-demand computing resources. However, multi-tenancy in cloud environments creates heightened privacy risks, as multiple users and organizations share the same infrastructure. Ensuring data isolation and protecting sensitive information from unauthorized access have therefore become central challenges. This paper investigates privacy-aware access control models-specifically Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and Policy-Based Access Control (PBAC)-as mechanisms for safeguarding user data in multi-tenant systems. Through comparative analysis, the paper evaluates the effectiveness of each model with respect to scalability, granularity, and adaptability to dynamic cloud environments. The study proposes a hybrid privacy-centric access control model designed to ensure isolation, enforce fine-grained permissions, and reduce the risk of privacy breaches in shared infrastructures.