An Efficient Privacy-Preserving Ranked Keyword Search Method



An Efficient Privacy-Preserving Ranked Keyword Search Method
To get this project in ONLINE or through TRAINING Sessions, Contact:
JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank.
Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch.
Mobile: (0) 9952649690,
Email: jpinfotechprojects@gmail.com,
web: http://www.jpinfotech.org,
Blog: http://www.jpinfotech.blogspot.com
Cloud data owners prefer to outsource documents in an encrypted form for the purpose of privacy preserving. Therefore it is essential to develop efficient and reliable ciphertext search techniques. One challenge is that the relationship between documents will be normally concealed in the process of encryption, which will lead to significant search accuracy performance degradation. Also the volume of data in data centers has experienced a dramatic growth. This will make it even more challenging to design ciphertext search schemes that can provide efficient and reliable online information retrieval on large volume of encrypted data. In this paper, a hierarchical clustering method is proposed to support more search semantics and also to meet the demand for fast ciphertext search within a big data environment. The proposed hierarchical approach clusters the documents based on the minimum relevance threshold, and then partitions the resulting clusters into sub-clusters until the constraint on the maximum size of cluster is reached. In the search phase, this approach can reach a linear computational complexity against an exponential size increase of document collection. In order to verify the authenticity of search results, a structure called minimum hash sub-tree is designed in this paper. Experiments have been conducted using the collection set built from the IEEE Xplore. The results show that with a sharp increase of documents in the dataset the search time of the proposed method increases linearly whereas the search time of the traditional method increases exponentially. Furthermore, the proposed method has an advantage over the traditional method in the rank privacy and relevance of retrieved documents.

Since published on 31 10 2016 - 21:59:42 This video has been viewed 604 times, in the audience there are 2 likes, and The number who hate this Video is: 0. This video is favorited by 0 people and has been commented on as many times 2 times, Videos that have this 22 Minute(s) 42 Second(s) Length, are in Category Autos & Vehicles7

Videos titled An Efficient Privacy-Preserving Ranked Keyword Search Method are published by Channel JPINFOTECH PROJECTS with Channel ID UCkzH0nzQ1aGppL4nSvBtHtg on 31 10 2016 - 21:59:42

Videos Related Videos An Efficient Privacy-Preserving Ranked Keyword Search Method

  • OABE OUTSOURCED ATTRIBUTE BASED WITH KEYWORD SEARCH FUNCTION FOR CLOUD STORAGE
    OABE OUTSOURCED ATTRIBUTE BASED WITH KEYWORD SEARCH FUNCTION FOR CLOUD STORAGE
    To get IEEE 2016 2017 OABE OUTSOURCED ATTRIBUTE BASED WITH KEYWORD SEARCH FUNCTION FOR CLOUD STORAGE in Asp.Net mail to ...
  • Tutorial: Keyword Search on the Pro Realtors app
    Tutorial: Keyword Search on the Pro Realtors app
    Realtors, struggling to find pre-leased properties or ATM spaces on rent? Well, it's easy with the keyword search on the Pro Realtors app
    We show you how.
    ]
  • IEEE 2016: Dual-Server Public-Key Encryption with Keyword Search for Secure Cloud Storage
    IEEE 2016: Dual-Server Public-Key Encryption with Keyword Search for Secure Cloud Storage
    We are ready to provide guidance to successfully complete your projects and also download the abstract, base paper from our website Visit...
  • Amazon Rank Checker based on the keyword search
    Amazon Rank Checker based on the keyword search
    Have you ever wondered where your product ranks on amazon based on a keyword search? this extension lets you optimize your PPC on amazon by giving you ...

    Postingan terkait:

Belum ada tanggapan untuk "An Efficient Privacy-Preserving Ranked Keyword Search Method"

Post a Comment