Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{145539,
        author = {Bellam Sai Kishan and Iruvuri Bhargav Ram and Aravapalli Pavan Kumar},
        title = {Hash Tabled Intelligent Keyword Cloud Document System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {301-305},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145539},
        abstract = {The major task of the cloud storage servers is the information sharing.The recent generations of computing is purely based on searching of documents or contents in huge databases.The cloud storage server allows storing of fragile and large volumes of data with less cost and fast access benifits.the storing of data and retreiving it in an efficient manner becomes a challenging task.in this case the security must be given the due importance and provide confidence to the data owner.Hence the utilazation of data through plaintext search should be changed.Therefore an excellent  strategy is required to equal the keywords with encrypted cloud data.The proposed concept similarity measure of coordinate matching combined with inner product similarity quantitatively assess and matches all applicable data with search keyword to retreive the foremost results. In this approach each document is given with a binary vector to replace a keyword that is contained in the document.By the inner product of the query vector ,the similarity could be exactly measured with the data vector.The two multi-keyword ranked search and the inner product computation over the encrypted data ensures data privacy and and provides  information about the dynamic operation on the data set and index and hence  this will improves the search event of the user.},
        keywords = {},
        month = {},
        }