Convergent Encryption Enabled Secure Data Deduplication Algorithm for Cloud Environment

The exponential growth of data management nowadays is quite a tedious and critical issue. It is also evident that methods employed for collecting data for cloud storage exert additional load on different cloud servers operated by many enterprises. Various approaches are used these days to reduce the burden on computer servers. One such approach is de-duplication, which has gained much attention due to its efficient, extensive storage system. In this approach, redundant data is removed, which improves storage utilization and reduces the cost of secure storage. International Data Corporation (IDC) reported 33 Zettabytes in 2018 to 175 ZB by 2025, putting cumbersome loads on present servers. Due to this enormous amount of data, it is challenging for the local and small servers, usually used in various enterprises, to handle it. It has also been observed that most data are generally duplicated in terms of space; therefore, data transmission places extra effort on small servers. This study provides a more comprehensive analysis of the literature on safe data duplication. Furthermore, it classifies the various secure data storage techniques applied at different levels of encrypted data collecting storage. Furthermore, this article looks into the classification of the de-duplication procedures as per literature and other Unified Modeling Language (UML) activity diagrams, exhibiting both their classification and detection difficulties. Moreover, current duplication techniques suffer from a couple of security challenges. Therefore, a convergent encryption algorithm has been proposed and implemented along with the de-duplication techniques, and the different UML diagrams and comparative analysis have illustrated the proposal's viability.