Privacy preserving serial data publishing by role composition
Yingyi Bu, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Lei Chen, Jiuyong Li · Proceedings of the VLDB Endowment · 2008
Previous works about privacy preserving serial data publishing on dynamic databases have relied on unrealistic assumptions of the nature of dynamic databases. In many applications, some sensitive values changes freely while others never change. For example, in medical applications, the disease attribute changes with time when patients recover from one disease and develop another disease. However, patients do not recover from some diseases such as HIV. We call such diseases permanent sensitive values. To the best of our knowledge, none of the existing solutions handle these realistic issues. We propose a novel anonymization approach called HD-composition to solve the above problems. Extensive experiments with real data confirm our theoretical results.