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Dynamic Classification of Sensitivity Levels of Datawarehouse Based on User Profiles
- Source :
- International Journal of Database Management Systems (IJDMS), International Journal of Database Management Systems (IJDMS), IJDMS, 2016, 8 (6), pp.13-25. ⟨10.5121/ijdms.2016.8602⟩
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- International audience; 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.
- Subjects :
- Data Warehouse
Profession profile
business.industry
Computer science
Pattern recognition
Traceability
Crucial information
02 engineering and technology
Data warehouse
[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
Sensitivity (control systems)
business
Confidentiality
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- International Journal of Database Management Systems (IJDMS), International Journal of Database Management Systems (IJDMS), IJDMS, 2016, 8 (6), pp.13-25. ⟨10.5121/ijdms.2016.8602⟩
- Accession number :
- edsair.doi.dedup.....f8398a958b797c6057792c0aa7127ef0