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@article{166419,
        author = {Uppu Mamatha and Dr. M. Dhanalakshmi},
        title = {DROPS - DATA DISTRIBUTION AND RECREATION FOR ENRICHED PRODUCTIVITY AND SAFETY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {2},
        pages = {576-580},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166419},
        abstract = {At the certain point when information is changed under the authority, in the role of tired cloud sevices, gives rise for security issues. This knowledge compromise could occur due to offenses with other cloud customers and central points think twice about information Subsequently, severe safety  efforts are expected to shield cloud-based information. Not with standing utilized safety plan need to too accept under consideration the enhancement of the  information recovery period. For ideal execution and security, we Division and replication of data for Optimal Performance and Security (DROPS) which will cumulatively reaches the stability as well as execution problems. Within a document and convey a record in to parts, and reproduce the parted data into a centralized cloud sevices . every sevice stores as it were a single section a detailed account will assures that indeed in the event of profitable offensive, significant information will not be covered to the assailant. Additionally, the services moves a side, and they are isolated with remove by implies of chart T- coloring to deny an aggressor with considering parts of the areas. Furthermore, this document will not be lean on the conventional encryption methods intended for the information privacy; in this manner soothing the frameworks are time consuming techniques. We appear to the extent of possibility to locate as well as compromise all of the services thowing as parts as a single data is greatly moo. We moreover compare with carrying out DROPS stratergy involving ten other schemes.},
        keywords = {Centrality, Cloud Security, Fragmentation, Replication, Performance.},
        month = {July},
        }