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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

An Approach for Preserving Privacy and Knowledge In Data Mining Applications

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Author Alaa H Al-Hamami, Suhad Abu Shehab
ISSN 2079-8407
On Pages 53-56
Volume No. 4
Issue No. 1
Issue Date February 01, 2013
Publishing Date February 01, 2013
Keywords Data Mining, Privacy, Knowledge, Protection, and database.


Abstract

To control data mining process for different users with different privileges, two approaches were designed to protect the Database and Data Mining usage. The first approach, privacy protection of individuals by adding a white Gaussian noise to selected columns in a database to be mined for an unauthorized user. The second approach, knowledge protection, is done by encrypting the result of data mining before it appears to the unauthorized users by using Rijndael algorithm. In this case the clear answer will appear to the authorized users only. The proposed design is providing a protection for privacy and knowledge in data mining. Data Mining is used to find hidden patterns “relations” between data in huge datasets. Anyone can use data mining, can get the new knowledge.
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