Research on Privacy Preserving Data Mining Association Rules Protocol

Abstract:

Privacy preserving in data mining is a significant direction. There has been growing interests in private concerns for future data mining research. Privacy preserving data mining concentrates on developing accurate models without sharing precise individual data records. A privacy preserving association rule mining algorithm was introduced. This algorithm preserved privacy of individual values by computing scalar product. Then, the data mining and secure multiparty computation are briefly introduced. And proposes an implementation for privacy preserving mining protocol based secure multiparty computation protocol.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 1661-1664
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.1661
• Online since: September 2013
• Authors: Xiao Ming Zhu
• Keywords: Association Rule, Data Mining (DM), Privacy Preserving, Security

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