An application of Cloud Computing (CC) technologies for interconnecting data as well as applications served as of manifold geographic locations is the distributed cloud. For distributed CC, Managing a vast measure of data along with maintaining security are vital aspects. Though lots of techniques were introduced recently to manage and protect data on the distributed cloud, those have not rendered any desirable security. Thus, a secure Data Deduplication (DD) along with Data Portability (DP) for a distributed cloud environment is proposed here. To enhance the user data’s security, primarily, the inputted files are bifurcated into blocks and after that, an appropriate Cloud Server (CS) is chosen utilizing Hybrid Forest Genetic Algorithm (HFGA) centred upon split file features together with CS features. In a DD phase, the Whirlpool algorithm converts the split data into Hash Code (HC), and then, the hash chaining technique securely removes the duplicated data. Then, that split data is compressed, encrypted, together with amassed in the selected CS. Next, the Levy Flight-Wind Driven Optimization (LF-WDO) performs the DP to enhance the cloud data’s security. Within 3265 ms, the proposed Whirlpool algorithm renders an HC for the 10,000 kb file. The proposed LF-WDO achieves a lower process time of 2987 ms, which is above 5% smaller than the existing techniques. Investigational outcomes exhibit the proposed work’s potential. © 2022 Elsevier B.V., All rights reserved.