Volume 8 Issue 4 - July 2017

  • 1. Secure dynamic multi key word ranked search on encrypted data

    Authors : Umashree E, T.r.muhibr Rahman

    Pages : 1-5

    DOI : http://dx.doi.org/10.21172/1.84.01

    Keywords : Encryption, multi keyword, ranked search, cloud server, index construction, query generation, cloud computing.

    Abstract :

    Multi keyword ranked search over encrypted cloud data defines the complexity in preserving definite System wise privacy in the cloud computing. Because of increasing use of the more and more data an owner are motivated to outsource their data to cloud servers to freedom from the complexity and minimizes the economic cost in data management. The data of the data owners should be encrypted before modifying the data by the data users for privacy requirements. The encrypted data can be utilized by using key-word based documents. A secure multi keyword ranked search supports the data owners to update the operations like inserting, deleting and modifying the existing documents. For the index construction and query generation vector space model and widely used TF_IDF model are used. This project constructs a special tree based index structure and proposes a “Greedy depth first search” algorithm to provide efficient multi keyword ranked search. The flexibility in adding and deleting the documents and sub linear search can be achieved by using special tree based index structure.

    Citing this Journal Article :

    Umashree E, T.r.muhibr Rahman, "Secure dynamic multi key word ranked search on encrypted data", https://www.ijltet.org/journal_details.php?id=918&j_id=3823, Volume 8 Issue 4 - July 2017, 1-5, #ijltetorg