ABC of PPDM - Attack Based Classification of Privacy Preserving Data Mining
R. Mangai Begum, Kuo Chuen LEE David · CiiT international journal of data mining and knowledge engineering · 2014
In recent years, the data mining techniques have met a serious challenge due to an increased concerned and worries of the privacy that is protecting the privacy of the critical and sensitive data. Different techniques and algorithms have been already presented for PPDM which could be classified in three common approaches. 1) Anonymization approach 2) Randomization approach 3) Cryptographic approach. This paper provides on the types of attacks and attack based classification of privacy preservation data mining, as a foundation for further research in this field.