Role-task conditional-purpose policy model for privacy preserving data publishing

Abstract

Privacy becomes a major concern for both consumers and enterprises; therefore many research efforts have been devoted to the development of privacy preserving technology. The challenge in data privacy is to share the data while assuring the protection of personal information. Data privacy includes assuring protection for both insider ad outsider threats even if the data is published. Access control can help to protect the data from outsider threats. Access control is defined as the process of mediating every request to resources and data maintained by a system and determining whether the request should be granted or denied. This can be enforced by a mechanism implementing regulations established by a security policy. In this paper, we present privacy preserving data publishing model based on integration of CPBAC, MD-TRBAC, PBFW, protection against database administrator technique inspired from oracle vault technique and benefits of anonymization technique to protect data when being published using k-anonymity. The proposed model meets the requirements of workflow and non-workflow system in enterprise environment. It is based on the characteristics of the conditional purposes, conditional roles, tasks, and policies. It guarantees the protection against insider threats such as database administrator. Finally it assures needed protection in case of publishing the data.