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@article{192127,
        author = {Dhanashri Rajurkar and Prof. Chanchal Kshirsagar and Ritesh Chavhan and Srushti Mehakarkar and Sakshi Udar and Rohit Rode and Shivham Shirbhate},
        title = {System Data Recovery Using Cloud Storage},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {466-473},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192127},
        abstract = {The growing dependence on digital systems has made reliable data storage and recovery a critical requirement for individuals and organizations. Data loss caused by hardware failures, cyberattacks, human errors, or natural disasters can lead to serious operational and financial consequences. To address these challenges, this paper presents a cloud-based system for efficient data recovery and secure data management. The proposed approach utilizes cloud storage services to ensure continuous data availability, scalability, and rapid recovery during failure scenarios. The system focuses on maintaining data redundancy, automated backup mechanisms, and secure access control to protect sensitive information. By leveraging cloud infrastructure, the recovery process becomes faster and more cost-effective compared to traditional on-premise solutions. The proposed model supports flexible storage management and minimizes downtime, thereby improving business continuity. Experimental analysis and system evaluation indicate that cloud-enabled data recovery provides a reliable, scalable, and secure solution for modern data protection requirements.},
        keywords = {Cloud Computing, Disaster Recovery, Business Continuity, Data Replication, Virtualization, Cloud Storage},
        month = {February},
        }