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KDD
2005
ACM
158views Data Mining» more  KDD 2005»
14 years 8 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 7 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
PVLDB
2010
117views more  PVLDB 2010»
13 years 6 months ago
Distance-Based Outlier Detection: Consolidation and Renewed Bearing
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
Gustavo Henrique Orair, Carlos Teixeira, Ye Wang, ...
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 8 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
SAC
2009
ACM
14 years 2 months ago
SQLProb: a proxy-based architecture towards preventing SQL injection attacks
SQL injection attacks (SQLIAs) consist of maliciously crafted SQL inputs, including control code, used against Databaseconnected Web applications. To curtail the attackers’ abil...
Anyi Liu, Yi Yuan, Duminda Wijesekera, Angelos Sta...