Privacy Preserving and Enhancing Security in Association Rule Mining using Robfrugal Algorithm
Abstract & Details
Research Area
Computer Engineering
Keywords
Privacy preserving data mining
association rule mining
frequent item-set rule mining
holomorphic encryption scheme and secure comparison scheme
Abstract
Security of the data or the database is the prime concern in today’s technology. Association rule mining recognizes the frequent items based on the market-basket data analysis. Frequent item-set rule mining is been used for identifying the fake or the duplicate rules in the mining process. The cryptographic based technique is given priority for the privacy preserving of the database. Privacy Preserving Data Mining (PPDM) is a solution for privacy threats in data mining. A connection is been made between the data owner and the cloud through centralized database, where the unprocessed data is been processed using the solutions given by the cloud. Holomorphic encryption scheme and secure comparison scheme are used to ensure the data privacy.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | M.SARAVANAN | SRM INSTITUTE OF SCIENCE AND TECHNOLOGY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
M.SARAVANAN (2018). Privacy Preserving and Enhancing Security in Association Rule Mining using Robfrugal Algorithm. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 58-63.
MLA Style
M.SARAVANAN. "Privacy Preserving and Enhancing Security in Association Rule Mining using Robfrugal Algorithm." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 58-63.
IEEE Style
M.SARAVANAN, "Privacy Preserving and Enhancing Security in Association Rule Mining using Robfrugal Algorithm," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 58-63, 2018.
Vancouver Style
M.SARAVANAN. Privacy Preserving and Enhancing Security in Association Rule Mining using Robfrugal Algorithm. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):58-63.
Harvard Style
M.SARAVANAN (2018) 'Privacy Preserving and Enhancing Security in Association Rule Mining using Robfrugal Algorithm', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 58-63.
Chicago Style
M.SARAVANAN. "Privacy Preserving and Enhancing Security in Association Rule Mining using Robfrugal Algorithm." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 58-63.
Turabian Style
M.SARAVANAN. "Privacy Preserving and Enhancing Security in Association Rule Mining using Robfrugal Algorithm." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 58-63.
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