Data Warehouses (DWs) are the enterprise’s most valuable assets in what concerns critical business information, making them an appealing target for malicious inside and outside attackers. Given the volume of data and the nature of DW queries, most of the existing data security solutions for databases are inefficient, consuming too many resources and introducing too much overhead in query response time, or resulting in too many false positive alarms (i.e., incorrect detection of attacks) to be checked. In this paper, we present a survey on currently available data security techniques, focusing on specific issues and requirements concerning their use in data warehousing environments. We also point out challenges and opportunities for future research work in this field.
Keywords
data security; data warehousing; data privacy; data confidentiality; data integrity; data availability; intrusion detection; encryption; data recovery.
Subject
Data Security
Conference
EUROCON 2011 - International Conference on Computer as a Tool, April 2011
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Cited by
Year 2013 : 2 citations
Amritpal Singh, Nitin Umesh, "Implementing Log Based Security in Data Warehouse", International Journal of Advanced Computer Research, Vol. 3 No 1 Issue 8, March 2013.
N. V. Blamah, A. O. Adewumi, M. O. Olusanya, "A secured agent-based framework for data warehouse management", 2013 IEEE International Conference on Industrial Technology, ICIT 2013, Cape Town, South Africa, February 25-28, 2013.
