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Anomaly detection of access patterns in database | IEEE Conference Publication | IEEE Xplore
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Anomaly detection of access patterns in database


Abstract:

Data security has a critical role in the larger context of information and system security. In this paper, we propose the anomaly detection system for securing database. ...Show More

Abstract:

Data security has a critical role in the larger context of information and system security. In this paper, we propose the anomaly detection system for securing database. Our approach is based on analyzing the user's access pattern stored in database log and detecting the anomalous access event. We consider three methods for this, user pattern analysis, machine learning analysis, and rule-based access control. Our experimental evaluation on both real and virtual database shows that our approaches work well.
Date of Conference: 28-30 October 2015
Date Added to IEEE Xplore: 17 December 2015
ISBN Information:
Conference Location: Jeju, Korea (South)

References

References is not available for this document.