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In today's highly connected society, we are constantly asked to providepersonal information to retailers, voter surveys, medical professionals, andother data collection efforts. The collected data is stored in large datawarehouses. Organisations and statistical agencies share and use this data tofacilitate research in public health, economics, sociology, etc. However, thisdata contains sensitive information about individuals, which can result inidentity theft, financial loss, stress and depression, embarrassment, abuse,etc. Therefore, one must ensure rigorous management of individuals' privacy. Wepropose, an advanced data privacy management architecture composed of threelayers. The data management layer consists of de-identification andanonymisation, the access management layer for re-enforcing data access basedon the concepts of Role-Based Access Control and the Chinese Wall SecurityPolicy, and the roles layer for regulating different users. The proposed systemarchitecture is validated on healthcare datasets.

Data Behind the Walls An Advanced Architecture for Data Privacy Management