Cloud-based Data Protection: A Framework for Authorizing Data Movement

As organizations increasingly migrate their data operations to cloud environments and harness the power of big data analytics, ensuring the security and privacy of data in motion becomes paramount. This research study outlines a comprehensive cloud authorisation framework explicitly designed to address the unique challenges posed by the dynamic nature of big data processing in cloud environments. The proposed prototype / framework integrates advanced authentication and authorisation mechanisms tailored to the characteristics of big data systems, including distributed processing, heterogeneous data sources, and diverse user access patterns. Leveraging scalable cloud infrastructure and advanced cryptographic techniques, the framework ensures granular access control and data protection throughout the data lifecycle. Designing a comprehensive Cloud Authorization Framework for Data in Motion within Big Data entails addressing numerous key components and considerations. A broad framework design is shown in this research study. It includes mechanisms for authentication and authorisation, multi-tenancy management, continuous monitoring and remediation, working with third-party providers, educating and raising awareness among users. By integrating these components, organisations can establish a robust security infrastructure capable of safeguarding sensitive data in cloud environments.