Three Layer Based Intelligent Data Privacy in Cloud Computing

The rapid advancement of cloud computing technology, coupled with the exponential increase in unstructured data, has led to heightened interest and significant progress in cloud storage solutions. However, cloud service providers often lack insights into the data they store and manage globally across their platforms. To address privacy concerns, various encoding technologies have been developed to enhance data protection. This paper proposes a three-tiered security framework for cloud storage that optimally utilizes cloud resources while safeguarding data privacy. Our approach involves segmenting data into multiple components, ensuring that the loss of any single piece results in the loss of the entire dataset. We implement a bucket-based algorithm to secure the data, demonstrating both protection and efficiency within our proposed model. Furthermore, leveraging process intelligence, this algorithm will assess the distribution ratios of data stored across cloud, fog, and local environments.