<p>Cloud storage is one of the significant cloud environment services that support cloud users in eliminating the issue of limited resources and increasing their storage demands without updating their systems. A secured cloud data storage framework is implemented in this article for securing the data of cloud storage users. In the beginning, the required data is generated and forwarded as input to the optimized hybrid advanced encryption standard and elliptic curve cryptography for double encryption. In this module, at first, the data is given to the ECC method, where the data is encrypted. Subsequently, the encrypted data is subjected to the AES approach for improving security. Here, the public key in ECC and secret key in AES are optimized by modified probability ratio-based reptile search FIFA World Cup optimization. This algorithm is the integration of the traditional reptile search algorithm and the FIFA World Cup algorithm. The hybridization of these algorithms facilitates to improve the data storage security through the deduplication process. Furthermore, the obtained encrypted data is stored in the cloud environment and then the block-wise deduplication is carried out for the original and stored data. The outcome of the implemented model is evaluated with the conventional techniques. The designed approach achieves a 95% throughput when the data size is 200, which is superior to the traditional related techniques. Thus, the outcomes showed that the suggested framework attained an enhanced performance rate than the traditional models concerning various metrics.</p>