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@article{178668,
        author = {Anupam Sudhanshu and Wajahat Gh Mohd.},
        title = {Improving Data Security and Confidentiality Through Cloud Technologies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4462-4467},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178668},
        abstract = {With the rapid growth of cloud computing technology and the explosion of unstructured data, cloud storage has gained significant attention and seen continuous improvement. Traditionally, privacy protection in cloud environments has relied heavily on encryption techniques. Although various methods exist to safeguard data in the cloud, challenges remain. In this work, we propose a three-layer storage framework based on fog computing, which effectively combines the advantages of cloud storage with enhanced data privacy protection. In our approach, the Hash-Solomon coding algorithm is used to split data into multiple parts, increasing security—although the loss of any single part can impact data recovery. To address this, a bucket-based algorithm is introduced to securely organize and protect data, ensuring both security and efficiency. Furthermore, leveraging computational intelligence, our framework dynamically determines the optimal distribution of data across the cloud, fog nodes, and local machines. Additionally, we explore the Software as a Service (SAAS) model, where clients deploy applications on a hosted environment accessible over a network without managing the underlying infrastructure—except for some user-specific configuration options. Popular examples of SAAS platforms include Google Apps and Microsoft Office 365. This discussion emphasizes the balance between leveraging cloud advantages and ensuring data privacy.},
        keywords = {cloud Computing, layer storage, algorithm, computational intelligence},
        month = {May},
        }