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@article{193390,
        author = {SANJANA KR and SINCHANA M and SINDHU T and SHEETHAL S and Shweta Salimath},
        title = {Data Download Duplication Alert System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {8222-8226},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193390},
        abstract = {Organizations often face data redundancy when multiple users download the same datasets without awareness of existing copies, resulting in wasted storage, bandwidth, and time. The Data Download Duplication Alert System (DDAS) addresses this issue by detecting and preventing duplicate dataset downloads using content-based identification. The system maintains metadata logs containing file details such as content identifiers, ownership, and timestamps. IPFS-based hashing enables accurate detection of duplicate datasets even when file names differ, while Firebase provides real-time synchronization and alerting. A React-based interface allows users to efficiently search and manage datasets. By integrating decentralized storage with real-time metadata management, DDAS improves resource efficiency and supports collaborative data usage.},
        keywords = {data deduplication, IPFS, Dataset Management, Firebase, Content Identifier, Decentralized Storage.},
        month = {March},
        }