A Two Way Encryption for Privacy Preservation of Outsourced Transaction Databases for Association Rule Mining

Authors

  • Priya Kukade  BE Students, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering & Research, Nagpur, Maharashtra, India
  • Rajani Tale  BE Students, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering & Research, Nagpur, Maharashtra, India
  • Shweta Thakre  BE Students, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering & Research, Nagpur, Maharashtra, India
  • Aishwarya Sonwane  BE Students, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering & Research, Nagpur, Maharashtra, India
  • Prof. Rashmi Jain  Assistant Professor, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering & Research, Nagpur, Maharashtra, India

Keywords:

Cloud Computing, Association rule mining, Privacy-preserving outsourcing, Rob Frugal

Abstract

Data mining-as-a-benefit has been chosen as impressive research issue by specialists. The Data Owner can outsource its data to the server which can be later used for mining the association rules. As both the association rules and the outsourced transaction database are private property of data proprietor. The data owner encrypts its data, send data and mining threshold query to the server, and receives the genuine samples from the encoded designs fetched from the server to secure the privacy. The issue of outsourcing transaction database inside a corporate privacy system is examined in this paper. We propose a plan for privacy preserving outsourced data mining. Our plan guarantees that each changed data is distinctive regarding the aggressor's past data. To counter these attacks we utilize Pallier Encryption on after Rob Frugal encryption implemented with a particular true objective to give protection for outsourced data mining. The exploratory outcomes on genuine transaction database demonstrate that our strategies are adaptable, effective and secure privacy.

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International Journal of Scientific Research in Science and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 5, March-April-2018

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Research Articles

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How to Cite

[1]
Priya Kukade, Rajani Tale, Shweta Thakre, Aishwarya Sonwane, Prof. Rashmi Jain, " A Two Way Encryption for Privacy Preservation of Outsourced Transaction Databases for Association Rule Mining, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.276-285, March-April-2018.