IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i3idhcseit172353.html

Privacy-Preserving Mining of Outsourced Transaction Databases for Association Rules Generation Using Paillier Encryption

Author

Listed:
  • Chaitali C. Khandate
  • Antara Bhattacharya

Abstract

Cloud computing or Distributed Network uses the ideal model of information mining-as-an organization, using these it is in every way a prominent choice for associations sparing cash on the cost of adding to secure, supervise and keep up an IT establishment. An affiliation/store debilitated in mining limit can outsource its mining needs to expert center on a cloud server. In any case, both the alliance rules and thing set of the outsourced database are viewed as private property of the affiliation. The data proprietor encodes the data and sends to the server to shield the corporate security. Client sends mining inquiries to server, and after that server conducts data mining and sends mixed case to the client. To get honest to goodness illustration client unscrambles mixed case. In this paper, we consider the issue of outsourcing the connection oversees mining task inside a corporate security safeguarding structure. Therefore Privacy Preserving Data Mining is an examination domain stressed with the security chose from eventually identifiable information when considered for data mining. The Rob Frugal encryption strategy is familiar with beat the security vulnerabilities of outsourced information, which is focused on adjusted substitution figures for things likewise, including fake cases for database. In any case, it contains diverse fake illustrations which augment the breaking point overhead. To beat this issue, the proposed procedure fuses extension of weighted support in remarkable support of things to diminish the amount of fake illustrations and to overhaul the security level for outsourced information with less multifaceted nature. The fake trade table data is changed over into grid arrangement to decrease the limit overhead. Moreover the estimating attack and man in the middle ambush are possible on fundamental Rob modest count. To vanquish these strikes we utilize Pallier Encryption on after Rob Frugal encryption plot with a particular true objective to give protection saving outsourced mining. In our proposed work we improved the security as thing and thing set build ambush are unfeasible in light of the structure; additionally we diminish the dealing with time.

Suggested Citation

  • Chaitali C. Khandate & Antara Bhattacharya, 2017. "Privacy-Preserving Mining of Outsourced Transaction Databases for Association Rules Generation Using Paillier Encryption," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(3), pages 509-516, June.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit172353
    Note: Article URL: https://ijsrcseit.com/CSEIT172353
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT172353
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT172353.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit172353. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.