Enhancing Data Access Control and Loss Mitigation in Big Data Cloud Architectures

Abstract

As the adoption of Big Data continues to expand across industries, ensuring robust access control and loss mitigation has become critical in cloud architectures. This paper examines the challenges associated with securing data in distributed cloud environments and presents key strategies to enhance access control and mitigate the risks of data loss. Approaches such as role-based access control (RBAC), multi-factor authentication (MFA), and encryption are explored for strengthening data security. Additionally, advanced technologies like blockchain and artificial intelligence (AI) are investigated for their roles in providing automated monitoring and anomaly detection. The paper concludes by emphasizing the need for a comprehensive security framework to ensure data integrity and availability in Big Data cloud architectures.