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{207902,
author = {Shraddha Adhav and Prof. N.S.Magar},
title = {Cloud-Based Security: Integrating Privacy Preservation and Data Indexing},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {3},
pages = {3230-3240},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=207902},
abstract = {Storing private and professional data on the cloud server has a likely chance of losing possession of large size of data. Users convey data using Internet which can be affected by malicious attacks. So, to preserve the privacy of documents, data should be outsourced in encrypted format. In this proposed system, Secure Querying algorithm is used to retrieve top matching results from huge encrypted answer set relevant to user interest. To retrieve the documents of user interest, multi-keyword query has to be fired which will result in accessing the top k ranked documents. Lucene indexing technique has been developed to build an index of keywords from documents. Index will store hashed values of keywords. Blowfish algorithm is used for encryption and decryption of data.},
keywords = {Secure Cloud Computing, Blowfish, Indexing, Lucene},
month = {August},
}
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