Anomaly detection

Known as: Anomaly, Deviation detection, Exception detection 
In data mining, anomaly detection (also outlier detection) is the identification of items, events or observations which do not conform to an expected… (More)
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Related topics

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Artificial immune systemAssociation rule learningCluster analysisComputer forensics
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Broader (2)

Data miningData security

Papers overview

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Highly Cited
2013
Highly Cited
2013
Toward Supervised Anomaly Detection
Anomaly detection is being regarded as an unsupervised learning task as anomalies stem from adversarial or unlikely events with… (More)
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Highly Cited
2010
Highly Cited
2010
Anomaly detection in crowded scenes
A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the… (More)
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Highly Cited
2009
Highly Cited
2009
Histogram-based traffic anomaly detection
Identifying network anomalies is essential in enterprise and provider networks for diagnosing events, like attacks or failures… (More)
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Highly Cited
2007
Highly Cited
2007
Conditional Anomaly Detection
When anomaly detection software is used as a data analysis tool, finding the hardest-to-detect anomalies is not the most critical… (More)
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Highly Cited
2003
Highly Cited
2003
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including… (More)
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Highly Cited
2003
Highly Cited
2003
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
Intrusion detection corresponds to a suite of techniques that are used to identify attacks against computers and network… (More)
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Highly Cited
2003
Highly Cited
2003
Anomaly Detection Using Call Stack Information
The call stack of a program execution can be a very good information source for intrusion detection. There is no prior work on… (More)
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Highly Cited
2002
Highly Cited
2002
Tracking down software bugs using automatic anomaly detection
This paper introduces DIDUCE, a practical and effective tool that aids programmers in detecting complex program errors and… (More)
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Highly Cited
2001
Highly Cited
2001
Information-Theoretic Measures for Anomaly Detection
Anomaly detection is an essential component of the protection mechanisms against novel attacks. In this paper, we propose to use… (More)
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Highly Cited
1999
Highly Cited
1999
Temporal Sequence Learning and Data Reduction for Anomaly Detection
The anomaly-detection problem can be formulated as one of learning to characterize the behaviors of an individual, system, or… (More)
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