A General Proximity Privacy Principle

Recent years have witnessed ever-increasing concerns about individual privacy in numerous data dissemination applications that involve private personal information, e.g., medical data or census data. Typically, such microdata is stored in a relational table, each record corresponding to an individual, which can be divided into three sub-categories: (1) identifier attribute, e.g., social security number, which can explicitly identify an individual, and is usually removed from the microdata for publication; (2) quasi-identifier (QI) attributes, e.g., age, zip-code, and birth-date, whose values in combination can potentially identify an individual, and are usually available from other sources (e.g., voter registration list); (3) sensitive (SA) attribute, e.g., disease, which is the private information to be protected for the individuals.

• Type: Conference
• Year: 2009
• Where: ICDE
• Authors: Ting Wang, Shicong Meng, Bhuvan Bamba, Ling Liu, Calton Pu
• Keywords: Database, ICDE 2009, Proximity Privacy Principle