An Information-Theoretic Approach to Inference Attacks on Random Data Perturbation and a Related Privacy Measure

Random data perturbation (RDP) has been in use for several years in statistical databases and public surveys as a means of providing privacy to individuals while collecting information on groups, and has recently gained popularity as a privacy technique in data mining. This correspondence provides an information-theoretic framework for all inference attacks… CONTINUE READING