Provisioning an efficient data deduplication model for cloud storage and integrity

Cloud computing, which centralizes various resources, offers a massive resource pool in response to the exponential development of digital data. Data storage is the most palatable cloud computing service. Data deduplication, one of the fundamental technologies used in cloud storage, allows cloud servers to free up storage space by deleting duplicate data. Owners encrypt their data to protect privacy before moving it to a cloud server. Traditional deduplication technology cannot deduplicate encrypted data, creating a new hurdle for cloud data deduplication. Many security problems exist in current solutions. They demand users stay online and cannot enable flexible data access management. In this study, we provide a data deduplication method that combines virtual auditing, identity-based proof of ownership ( \(dd-IPoW\) $dd-IPoW$ ), and data deletion. The \(dd-IPoW\) $dd-IPoW$ proposal combines access control with cloud data deduplication. We prove the proposed scheme's security, efficacy, and efficiency by conducting a thorough security study and performance review.