HTDTB: A Close Look at Privacy Preserving Data Mining Based on Cryptography

Provided by: AICIT
Topic: Big Data
Format: PDF
The privacy has seen rapid advances in recent years because of the increases in the ability to store information. In particular, recent advances in the data mining field have lead to increased concerns about privacy preserving. While the topic of privacy has been traditionally studied in the class of cryptography and data hiding, recent emphasis on data mining has lead to renewed interest in the field. In this paper, the authors analyze and assess aspects of a framework based on methods of cryptography in data mining with respect to the privacy preserving based on HTDTB (Hiding purpose, Timing of protocols' operation, data Distributing model, data mining Task and Behavior of participants).

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