DYNAMIC CLASSIFICATION OF SENSITIVITY LEVELS OF DATAWAREHOUSE BASED ON USER PROFILES

Amina El ouazzani1 , Nouria Harbi2 and Hassan Badir3

1,3 Lab TIC Laboratory, ENSA Tangier, Morocco

2Eric Laboratory, Lyon II University, France

ABSTRACT

A data warehouse stores secret data about the privacy of individuals and important business activities. This makes access to this source a risk of disclosure of sensitive data. Hence the importance of implementing security measures which guarantee the data confidentiality by establishing an access control policy. In this direction, several propositions were made, but none are considered as a standard for access management to data warehouses. In this article, we will present our approach that allows first to exploit the permissions defined in the data sources in order to help the administrator to define access permissions to the data warehouse, and then our system will automatically generate the sensitivity level of each data warehouse element according to the permissions granted to an object in the data warehouse.

KEYWORDS

Data Warehouse, Confidentiality, Profession profile, Crucial information, Traceability

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