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» Detecting anomalous access patterns in relational databases
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VLDB
2008
ACM
161views Database» more  VLDB 2008»
14 years 7 months ago
Detecting anomalous access patterns in relational databases
Ashish Kamra, Evimaria Terzi, Elisa Bertino
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
13 years 9 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 7 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
ICEIS
2002
IEEE
14 years 13 days ago
DIDAFIT: Detecting Intrusions in Databases Through Fingerprinting Transactions
: The most valuable information assets of an organization are often stored in databases and it is pertinent for such organizations to ensure the integrity and confidentiality of t...
Wai Lup Low, Joseph Lee, Peter Teoh
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
14 years 7 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider