ABSTRACT
This chapter uses the Red Cross Blood Transfusion Service (BTS) as a case study to illustrate how the components studied in previous chapters work together to solve a real-life privacy-preserving data publishing problem. Chapter 2 studies the privacy threats caused by data publishing and the privacy models that thwart the privacy threats. Chapter 3 discusses some commonly employed anonymization operations for achieving the privacy models. Chapter 4 studies various types of information metrics that can guide the anonymization operations for preserving the required information depending on the purpose of the data publishing. Chapter 5 provides an overview of different anonymization algorithms for achieving the privacy requirements and preserving the information utility.
