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Robust Keywords Based Document Retrieval by Utilizing AES

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Project Discription

02-July-2018

As the digital data increases on servers different researcher have focused on this field. As various issues are arise on the server such as data handling, security, maintenance, etc. In this paper document retrieval was proposed that efficiently the fetch document as per query. Here hash based indexing of the dataset document was done by utilizing term features. In order to provide privacy for the terms each of this is identified by a unique number and each document has its hash index key for identification. Experiment was done on real and artificial dataset. Results shows that NDCG, precision, recall parameter of the work is better as compare to previous work on different size of datasets. Conclusion With the drastic increase of the digital text data on the servers, libraries it is important for researcher to work on it. Considering this fact work has focus on one of the issue of the document retrieval. Here many researchers has already done lot of work but that is focus only on the content classification where in this work document are classify. Proposed work has increase the retrieval efficiency of the work in all different evaluation parameters. So use of hash based indexing provide privacy with efficiency for document retrieval. As there is always work remaining in every because research is a never ending process, here one can implement similar thing for different other language.

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Software Requirement :   MATLAB 2012 and Above

Hardware Requirement :   RAM: 2GB, Processor 2.2Ghz


Application :   As this is a new introduction of classification of articles by the ontology more work need to be done by including this for the other language as well because this work is done in English language articles. • Here boom the accuracy of the applicable document retrieval. • Reduce the execution time of the searching set of rules. • Privative of the record can be increase by means of providing the secure hash number. • Textual content document searching by query want to be at secure by assigning the wide Variety as this reduces the time of comparison as nicely.


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PDF IEEE Base Paper
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