Research Article
A Dubiety-Determining based Model for Database Cumulated Anomaly Intrusion
@INPROCEEDINGS{10.4108/infoscale.2007.220, author={Gang Lu and Junkai Yi and Kevin L\'{y}}, title={A Dubiety-Determining based Model for Database Cumulated Anomaly Intrusion}, proceedings={2nd International ICST Conference on Scalable Information Systems}, proceedings_a={INFOSCALE}, year={2010}, month={5}, keywords={Database security Intrusion detection Anomaly intrusion.}, doi={10.4108/infoscale.2007.220} }- Gang Lu
Junkai Yi
Kevin Lü
Year: 2010
A Dubiety-Determining based Model for Database Cumulated Anomaly Intrusion
INFOSCALE
ICST
DOI: 10.4108/infoscale.2007.220
Abstract
In this paper, the concept of Cumulated Anomaly is addressed, which describes a new type of database anomalies. A detection model, Dubiety-Determining Model (DDM), is proposed for it. The DDM can measure the dubiety degree of each database transaction quantitatively. We conducted experiments basing on the DDM. In our experiments, the DDM method calculates a real number for each audit record. That number is called dubiety degree, which indicates the possibility of being anomaly for each transaction. The experimental results demonstrate basic features, the feasibility, and the effectiveness of the method.
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