International Research Journal of Education and Technology

Many enterprises store and manage data in the cloud for various purposes. The transfer of user data in the cloud is no longer secure due to the cycle of data integrity checks. This work presents the development of Merkle Hash Tree for efficient pattern recognition in multi-server cloud to enhance cloud data security. Merkle hash trees use leaf hubs with hash tags and non-leaf hubs with sub-hash stores to hash large amounts of data. Merkle’s hash tree provides a useful data organization and describes the history of real data through good design. A proposed method allows you to securely open secure and safe cloud storage systems. Data is sent from the host to the cloud and processed using private keys. Data is stored on the cloud server using the improved Merkle hash tree method. Data files provided by data owners are reviewed by external auditors and by customers using multi-ownership agreements when changes are made. Authorities reviewing data usage are successful in using additional data while addressing security concerns. Profile authentication plays a key role in the ability to evaluate advanced content and prevent tampering by internal or external adversaries.

Keywords: Adaptability, Key Management, Cloud Authentication, Blockchain, Cloud Service.