
CHAPTER 9
Privacy Preserving in Data Mining
Privacy preserving in data mining is an important issue because there is an
increasing requirement to store personal data for users. The issue has been
thoroughly studied in several areas such as the database community, the
cryptography community, and the statistical disclosure control community.
In this chapter, we present the basic concepts and main strategies for the
privacy-preserving data mining.
The k-anonymity approach will be presented in Section 9.1. The
l-diversity strategy will be introduced in Section 9.2. The t-Closeness
method will be presented in Section 9.3. Discussion on privacy preserving ...