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» Anomaly Detection Using Call Stack Information
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IDA
2007
Springer
13 years 9 months ago
Anomaly detection in data represented as graphs
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
William Eberle, Lawrence B. Holder
DSOM
2007
Springer
14 years 3 months ago
NADA - Network Anomaly Detection Algorithm
This paper deals with a new iterative Network Anomaly Detection Algorithm – NADA, which accomplishes the detection, classification and identification of traffic anomalies. NADA f...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
GRID
2007
Springer
14 years 3 months ago
Log summarization and anomaly detection for troubleshooting distributed systems
— Today’s system monitoring tools are capable of detecting system failures such as host failures, OS errors, and network partitions in near-real time. Unfortunately, the same c...
Dan Gunter, Brian Tierney, Aaron Brown, D. Martin ...
CNSR
2011
IEEE
257views Communications» more  CNSR 2011»
13 years 16 days ago
On Threshold Selection for Principal Component Based Network Anomaly Detection
—Principal component based anomaly detection has emerged as an important statistical tool for network anomaly detection. It works by projecting summary network information onto a...
Petar Djukic, Biswajit Nandy
CNSR
2008
IEEE
108views Communications» more  CNSR 2008»
14 years 3 months ago
A Novel Covariance Matrix Based Approach for Detecting Network Anomalies
During the last decade, anomaly detection has attracted the attention of many researchers to overcome the weakness of signature-based IDSs in detecting novel attacks. However, hav...
Mahbod Tavallaee, Wei Lu, Shah Arif Iqbal, Ali A. ...