Enhanced security for multi-cloud storage using cryptographic data splitting with dynamic approach

Abstract

The use of cloud computing has increased rapidly in many organizations. Security is considered to be the most critical aspects in a cloud computing environment due to the sensitive information stored in the cloud for users. The goal of cloud security is mainly focused on the issues related to the data security and privacy aspects in cloud computing. This multi cloud model which is based on partitioning of application system into distinct clouds instead of using single cloud service such as in Amazon cloud service. It will discuss and present the cryptographic data splitting with dynamic approach for securing information. The metadata information is stored in private cloud. This approach prevents the unauthorized data retrieval by hackers and intruders. The results and implementation for the new proposed model is analyzed, in relation to addressing the security factors in cloud computing.