Authors: Aarti Dengale, Dr. Nagsen Bansod, Dr. A. A. Khan, Dr. R. S. Deshpande
Abstract: Data leakage in cloud environments poses serious threats to data confidentiality, integrity, and availability. This paper proposes a robust system combining Role-Based Access Control (RBAC), watermarking, and anomaly detection to prevent and detect data leakage in real-time. Simulations demon- strateim proved performance in detecting unauthorized access attempts. We present the architecture, algorithms, requirements, and security mechanisms, along with a comprehensive literature survey and experimental results. Additionally, the paper discusses the integration of emerging concepts such as Zero Trust Architecture, Attribute-Based Access Control, and forensic auditing to enhance cloud data security.
