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Information fusion is a cornerstone of competitive intelligence activity that aims at supporting decision making by collecting, analyzing and disseminating information. This information comes from heterogeneous data sources. In this paper we present an approach of access control. This approach is focused both on the information that must be bring to decision-makers and the privacy of individuals whose data is used to extract this information. This model is based on the standard “Role Based Access Control” (RBAC) and is implemented within the entire life cycle of Xplor Every Where (Web service of Tetralogie), it follows methodologies tailored to design privacy-aware systems to be compliant with data protection regulations.

Reduce Threats in Competitive Intelligence System: A Generic Information Fusion Access Control Model