Fortifying Cloud-Based Big Data: Strategies to Combat Vulnerabilities and Enhance Security
Introduction The convergence of big data and cloud computing has transformed how organizations handle massive datasets, offering scalability, cost-efficiency, and real-time analytics. Cloud platforms like AWS, Azure, and Google Cloud enable storage and processing of petabytes of data across distributed environments. However, this integration introduces significant security vulnerabilities, from misconfigurations to sophisticated cyber threats, potentially leading to data breaches that compromise sensitive information. In 2025, with data volumes projected to exceed 180 zettabytes globally, securing big data in the cloud is paramount for industries such as healthcare, finance, and e-commerce. This chapter examines key vulnerabilities in cloud-based big data systems and strategies to mitigate them. We explore foundational concepts, security techniques, real-world applications, challenges, and emerging trends. By adopting robust security frameworks, organizations can harness big...