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@article{145569,
        author = {Y.NAVEENA and Dr.K.Venkataramana},
        title = {A Deduplication Aware match in Cloud with protected Deduplication of Encrypted Data },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {724-728},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145569},
        abstract = {Data reduction has become increasingly necessary in storage systems as a result of the explosive growth of digital knowledge inside the planet that has ushered inside the massive knowledge era. One in each of the foremost challenges facing large-scale knowledge reduction is that the thanks to maximally observe and eliminate redundancy at really low overheads. during this paper, we have a tendency to gift a our theme, a low-overhead Deduplication-Aware likeness detection and Elimination theme that effectively exploits existing duplicate-adjacency knowledge for very economical likeness detection in knowledge deduplication based backup/archiving storage systems. the foremost arrange behind our theme is to use a subject matter, decision Duplicate-Adjacency based likeness Detection (DupAdj), by considering any 2 knowledge chunks to be similar (i.e., candidates for delta compression) if their numerous adjacent knowledge chunks area unit duplicate terribly} very deduplication system, then additional enhance the likeness detection potency by associate improved super-feature approach.},
        keywords = {Data deduplication, delta compression, resemblance Detection.},
        month = {},
        }