Many businesses store and manage data in the cloud for various purposes. The transmission of client data in the cloud is less secure because of the round-robin loop that checks the integrity of the data. To improve cloud data security, this study proposes an improved Merkle Hash Tree method for a successful recognition model in a multi-owner cloud. To hash a large amount of data, a Merkle Hash Tree uses leaf hubs with hash tags and non-leaf hubs with child hash data databases. Merkle’s Hash Tree provides efficient data planning and, through good design, truly defines the history of the data. The defined method allows you to maintain open access security and a secure cloud storage infrastructure. Data is sent from the owner to the cloud and processed with a private key. The data is stored in the cloud server using the improved Merkle hash tree method. Data records provided by data owners are audited by external auditors and customers are audited when changes are effected using a multi-ownership recognition approach. Authorities that review data usage have succeeded in increasing data usage while addressing safety and security issues. Data authentication plays a critical role in the ability to evaluate advanced content and protect against tampering by internal or external opponents.