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» Outlier detection and evaluation by network flow
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ICMLA
2004
13 years 6 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
CANS
2005
Springer
134views Cryptology» more  CANS 2005»
13 years 10 months ago
A New Unsupervised Anomaly Detection Framework for Detecting Network Attacks in Real-Time
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
Wei Lu, Issa Traoré
CNSR
2008
IEEE
155views Communications» more  CNSR 2008»
13 years 11 months ago
Detecting Network Anomalies Using Different Wavelet Basis Functions
Signal processing techniques have been applied recently for analyzing and detecting network anomalies due to their potential to find novel or unknown intrusions. In this paper, we...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani
IPPS
2008
IEEE
13 years 11 months ago
Outlier detection in performance data of parallel applications
— When an adaptive software component is employed to select the best-performing implementation for a communication operation at runtime, the correctness of the decision taken str...
Katharina Benkert, Edgar Gabriel, Michael M. Resch
ICDE
2008
IEEE
131views Database» more  ICDE 2008»
14 years 6 months ago
Outlier-Aware Data Aggregation in Sensor Networks
In this paper we discuss a robust aggregation framework that can detect spurious measurements and refrain from incorporating them in the computed aggregate values. Our framework ca...
Antonios Deligiannakis, Vassilis Stoumpos, Yannis ...