Secure Data Access and Loss Mitigation in Cloud-Based Big Data Systems

Abstract

In the era of Big Data, cloud-based systems have become indispensable for organizations to store, process, and analyze vast amounts of information. However, with the growing adoption of cloud services, ensuring secure data access and mitigating the risk of data loss have become critical challenges. This paper explores the security measures and best practices for achieving reliable data access and loss prevention in cloud-based Big Data environments. It delves into technologies such as encryption, access control mechanisms like Role-Based Access Control (RBAC), and Multi-Factor Authentication (MFA), as well as backup strategies to minimize data loss. The paper highlights the importance of a multi-layered security framework that integrates emerging technologies like artificial intelligence (AI) and blockchain for real-time monitoring and anomaly detection.